From 27cf8354069813a868d6fe4f79697f58140f0b47 Mon Sep 17 00:00:00 2001 From: jeffrey Date: Sun, 31 Dec 2023 19:29:25 +0900 Subject: [PATCH 1/3] dump version 0.2.4 --- RAGchain/__init__.py | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/RAGchain/__init__.py b/RAGchain/__init__.py index 5e9817bf..fca08446 100644 --- a/RAGchain/__init__.py +++ b/RAGchain/__init__.py @@ -1,4 +1,4 @@ -__version__ = '0.2.3' +__version__ = '0.2.4' # Sets the linker, which is required to use RAGchain. diff --git a/setup.py b/setup.py index cb260eb1..8f43e698 100644 --- a/setup.py +++ b/setup.py @@ -8,7 +8,7 @@ setup( name='RAGchain', - version='0.2.3', + version='0.2.4', description='Build advanced RAG workflows with LLM, compatible with Langchain', long_description=long_description, long_description_content_type='text/markdown', From 02dfb118a4e54ef6e1d9a317bbe39da64c107a1e Mon Sep 17 00:00:00 2001 From: jeffrey Date: Sun, 31 Dec 2023 19:53:20 +0900 Subject: [PATCH 2/3] add & edit .rst files --- docs/source/RAGchain.benchmark.dataset.rst | 14 ++++-- docs/source/RAGchain.pipeline.rst | 8 ++++ docs/source/RAGchain.preprocess.loader.rst | 8 ++++ docs/source/RAGchain.reranker.importance.rst | 29 +++++++++++++ docs/source/RAGchain.reranker.rst | 1 + docs/source/RAGchain.utils.compressor.rst | 8 ++++ docs/source/RAGchain.utils.rst | 1 + docs/source/RAGchain.utils.websearch.rst | 45 ++++++++++++++++++++ 8 files changed, 111 insertions(+), 3 deletions(-) create mode 100644 docs/source/RAGchain.reranker.importance.rst create mode 100644 docs/source/RAGchain.utils.websearch.rst diff --git a/docs/source/RAGchain.benchmark.dataset.rst b/docs/source/RAGchain.benchmark.dataset.rst index 0dd26855..a016c633 100644 --- a/docs/source/RAGchain.benchmark.dataset.rst +++ b/docs/source/RAGchain.benchmark.dataset.rst @@ -44,6 +44,14 @@ RAGchain.benchmark.dataset.dstc11\_track5 module :undoc-members: :show-inheritance: +RAGchain.benchmark.dataset.eli5 module +-------------------------------------- + +.. automodule:: RAGchain.benchmark.dataset.eli5 + :members: + :undoc-members: + :show-inheritance: + RAGchain.benchmark.dataset.ko\_strategy\_qa module -------------------------------------------------- @@ -68,10 +76,10 @@ RAGchain.benchmark.dataset.msmarco module :undoc-members: :show-inheritance: -RAGchain.benchmark.dataset.natural\_qa module ---------------------------------------------- +RAGchain.benchmark.dataset.natural\_question module +--------------------------------------------------- -.. automodule:: RAGchain.benchmark.dataset.natural_qa +.. automodule:: RAGchain.benchmark.dataset.natural_question :members: :undoc-members: :show-inheritance: diff --git a/docs/source/RAGchain.pipeline.rst b/docs/source/RAGchain.pipeline.rst index c8e27851..737a2fb1 100644 --- a/docs/source/RAGchain.pipeline.rst +++ b/docs/source/RAGchain.pipeline.rst @@ -20,6 +20,14 @@ RAGchain.pipeline.basic module :undoc-members: :show-inheritance: +RAGchain.pipeline.google\_search module +--------------------------------------- + +.. automodule:: RAGchain.pipeline.google_search + :members: + :undoc-members: + :show-inheritance: + RAGchain.pipeline.rerank module ------------------------------- diff --git a/docs/source/RAGchain.preprocess.loader.rst b/docs/source/RAGchain.preprocess.loader.rst index dc0e0299..2ca703ff 100644 --- a/docs/source/RAGchain.preprocess.loader.rst +++ b/docs/source/RAGchain.preprocess.loader.rst @@ -68,6 +68,14 @@ RAGchain.preprocess.loader.pdf\_link\_loader module :undoc-members: :show-inheritance: +RAGchain.preprocess.loader.rem\_loader module +--------------------------------------------- + +.. automodule:: RAGchain.preprocess.loader.rem_loader + :members: + :undoc-members: + :show-inheritance: + RAGchain.preprocess.loader.rust\_hwp\_loader module --------------------------------------------------- diff --git a/docs/source/RAGchain.reranker.importance.rst b/docs/source/RAGchain.reranker.importance.rst new file mode 100644 index 00000000..647f1fc7 --- /dev/null +++ b/docs/source/RAGchain.reranker.importance.rst @@ -0,0 +1,29 @@ +RAGchain.reranker.importance package +==================================== + +Submodules +---------- + +RAGchain.reranker.importance.simple\_importance module +------------------------------------------------------ + +.. automodule:: RAGchain.reranker.importance.simple_importance + :members: + :undoc-members: + :show-inheritance: + +RAGchain.reranker.importance.weighted\_importance module +-------------------------------------------------------- + +.. automodule:: RAGchain.reranker.importance.weighted_importance + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: RAGchain.reranker.importance + :members: + :undoc-members: + :show-inheritance: diff --git a/docs/source/RAGchain.reranker.rst b/docs/source/RAGchain.reranker.rst index e738305d..4b596663 100644 --- a/docs/source/RAGchain.reranker.rst +++ b/docs/source/RAGchain.reranker.rst @@ -7,6 +7,7 @@ Subpackages .. toctree:: :maxdepth: 4 + RAGchain.reranker.importance RAGchain.reranker.llm RAGchain.reranker.pygaggle RAGchain.reranker.tart diff --git a/docs/source/RAGchain.utils.compressor.rst b/docs/source/RAGchain.utils.compressor.rst index 822869ab..f114634d 100644 --- a/docs/source/RAGchain.utils.compressor.rst +++ b/docs/source/RAGchain.utils.compressor.rst @@ -20,6 +20,14 @@ RAGchain.utils.compressor.cluster\_time module :undoc-members: :show-inheritance: +RAGchain.utils.compressor.llm\_lingua module +-------------------------------------------- + +.. automodule:: RAGchain.utils.compressor.llm_lingua + :members: + :undoc-members: + :show-inheritance: + Module contents --------------- diff --git a/docs/source/RAGchain.utils.rst b/docs/source/RAGchain.utils.rst index 1b2c2153..3838a7d4 100644 --- a/docs/source/RAGchain.utils.rst +++ b/docs/source/RAGchain.utils.rst @@ -11,6 +11,7 @@ Subpackages RAGchain.utils.embed RAGchain.utils.linker RAGchain.utils.vectorstore + RAGchain.utils.websearch Submodules ---------- diff --git a/docs/source/RAGchain.utils.websearch.rst b/docs/source/RAGchain.utils.websearch.rst new file mode 100644 index 00000000..da83d41a --- /dev/null +++ b/docs/source/RAGchain.utils.websearch.rst @@ -0,0 +1,45 @@ +RAGchain.utils.websearch package +================================ + +Submodules +---------- + +RAGchain.utils.websearch.base module +------------------------------------ + +.. automodule:: RAGchain.utils.websearch.base + :members: + :undoc-members: + :show-inheritance: + +RAGchain.utils.websearch.bing\_search module +-------------------------------------------- + +.. automodule:: RAGchain.utils.websearch.bing_search + :members: + :undoc-members: + :show-inheritance: + +RAGchain.utils.websearch.brave\_search module +--------------------------------------------- + +.. automodule:: RAGchain.utils.websearch.brave_search + :members: + :undoc-members: + :show-inheritance: + +RAGchain.utils.websearch.google\_search module +---------------------------------------------- + +.. automodule:: RAGchain.utils.websearch.google_search + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: RAGchain.utils.websearch + :members: + :undoc-members: + :show-inheritance: From 8292d5e0bb10e567901a883c9a5437e02ab86dad Mon Sep 17 00:00:00 2001 From: jeffrey Date: Sun, 31 Dec 2023 19:55:22 +0900 Subject: [PATCH 3/3] make docs for v0.2.4 --- docs/build/doctrees/RAGchain.DB.doctree | Bin 109894 -> 116632 bytes .../RAGchain.benchmark.dataset.doctree | Bin 293286 -> 309081 bytes docs/build/doctrees/RAGchain.pipeline.doctree | Bin 99084 -> 114519 bytes .../RAGchain.preprocess.loader.doctree | Bin 142541 -> 153651 bytes .../RAGchain.preprocess.text_splitter.doctree | Bin 74300 -> 71980 bytes docs/build/doctrees/RAGchain.reranker.doctree | Bin 26884 -> 26920 bytes .../RAGchain.reranker.importance.doctree | Bin 0 -> 22334 bytes .../build/doctrees/RAGchain.retrieval.doctree | Bin 237161 -> 245589 bytes docs/build/doctrees/RAGchain.schema.doctree | Bin 110395 -> 125706 bytes .../RAGchain.utils.compressor.doctree | Bin 20064 -> 41845 bytes docs/build/doctrees/RAGchain.utils.doctree | Bin 108525 -> 108758 bytes .../RAGchain.utils.vectorstore.doctree | Bin 47091 -> 47178 bytes .../doctrees/RAGchain.utils.websearch.doctree | Bin 0 -> 24036 bytes docs/build/doctrees/environment.pickle | Bin 3102603 -> 3306101 bytes docs/build/html/RAGchain.DB.html | 21 + .../html/RAGchain.benchmark.dataset.html | 167 +- docs/build/html/RAGchain.benchmark.html | 28 +- docs/build/html/RAGchain.html | 78 +- docs/build/html/RAGchain.pipeline.html | 113 +- docs/build/html/RAGchain.preprocess.html | 24 +- .../html/RAGchain.preprocess.loader.html | 76 +- .../RAGchain.preprocess.text_splitter.html | 33 +- docs/build/html/RAGchain.reranker.html | 44 + .../html/RAGchain.reranker.importance.html | 293 ++ docs/build/html/RAGchain.retrieval.html | 30 +- docs/build/html/RAGchain.schema.html | 135 +- .../build/html/RAGchain.utils.compressor.html | 151 + docs/build/html/RAGchain.utils.html | 68 + docs/build/html/RAGchain.utils.websearch.html | 308 ++ .../RAGchain.benchmark.dataset.rst.txt | 14 +- .../html/_sources/RAGchain.pipeline.rst.txt | 8 + .../RAGchain.preprocess.loader.rst.txt | 8 + .../RAGchain.reranker.importance.rst.txt | 29 + .../html/_sources/RAGchain.reranker.rst.txt | 1 + .../RAGchain.utils.compressor.rst.txt | 8 + .../html/_sources/RAGchain.utils.rst.txt | 1 + .../_sources/RAGchain.utils.websearch.rst.txt | 45 + docs/build/html/genindex.html | 332 +- docs/build/html/modules.html | 3 + docs/build/html/objects.inv | Bin 4938 -> 5218 bytes docs/build/html/py-modindex.html | 116 +- docs/build/html/searchindex.js | 2884 +++++++++-------- 42 files changed, 3475 insertions(+), 1543 deletions(-) create mode 100644 docs/build/doctrees/RAGchain.reranker.importance.doctree create mode 100644 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    Submodules]] | None = None, importance: List[int] | None = None, **kwargs) → Submodules**kwargs: Additional metadata to search.

    @@ -437,6 +451,12 @@

    Submodules]] | None = None, importance: List[int] | None = None, **kwargs) → Submodules**kwargs: Additional metadata to search.

    diff --git a/docs/build/html/RAGchain.benchmark.dataset.html b/docs/build/html/RAGchain.benchmark.dataset.html index 9d77fd01..14959b48 100644 --- a/docs/build/html/RAGchain.benchmark.dataset.html +++ b/docs/build/html/RAGchain.benchmark.dataset.html @@ -190,6 +190,26 @@ +
  1. RAGchain.benchmark.dataset.eli5 + module + +
  2. RAGchain.benchmark.dataset.ko_strategy_qa module @@ -254,19 +274,20 @@
    3. -
  3. RAGchain.benchmark.dataset.natural_qa +
  4. RAGchain.benchmark.dataset.natural_question module
    5. -
  5. forward() (RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification method) +
  6. + forward() + (RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification method) +
    7. +
  7. from_documents() + (RAGchain.schema.passage.Passage class method) +
    8. +
  8. from_search() + (RAGchain.schema.passage.Passage class method)
    9. @@ -648,40 +661,58 @@

    G

    +
  9. get_model() + (RAGchain.reranker.pygaggle.transformer.MonoT5 static method) +
    10. +
  10. get_passages_and_run() + (RAGchain.pipeline.base.BaseRunPipeline method) + + +
    11. @@ -717,6 +748,9 @@

    I

  11. id (RAGchain.schema.passage.Passage attribute)
  12. IDCG (class in RAGchain.benchmark.retrieval.metrics) +
    13. +
  13. importance + (RAGchain.schema.passage.Passage attribute)
  14. IndDCG (class in RAGchain.benchmark.retrieval.metrics)
    15. @@ -742,6 +776,9 @@

    I

    (RAGchain.benchmark.dataset.dstc11_track5.DSTC11Track5Evaluator method) +
  15. (RAGchain.benchmark.dataset.eli5.Eli5Evaluator + method) +
  16. (RAGchain.benchmark.dataset.ko_strategy_qa.KoStrategyQAEvaluator method) @@ -752,8 +789,9 @@

    I

  17. (RAGchain.benchmark.dataset.msmarco.MSMARCOEvaluator method)
    18. -
  18. (RAGchain.benchmark.dataset.natural_qa.NaturalQAEvaluator - method) +
  19. + (RAGchain.benchmark.dataset.natural_question.NaturalQAEvaluator + method)
  20. (RAGchain.benchmark.dataset.nfcorpus.NFCorpusEvaluator method) @@ -794,6 +832,12 @@

    I

    21. +
  21. InputType + (RAGchain.utils.compressor.llm_lingua.LLMLinguaCompressor property) +
    22. +
  22. invoke() + (RAGchain.utils.compressor.llm_lingua.LLMLinguaCompressor method) +
  23. is_created() (RAGchain.retrieval.base.BaseRetrieval method)
  24. is_exactly_same() (RAGchain.schema.passage.Passage method) @@ -857,6 +901,9 @@

    L

  25. (RAGchain.preprocess.loader.nougat_pdf_loader.NougatPDFLoader method)
    26. +
  26. (RAGchain.preprocess.loader.rem_loader.RemLoader + method) +
  27. (RAGchain.preprocess.loader.rust_hwp_loader.RustHwpLoader method) @@ -866,6 +913,9 @@

    L

    method)
    28. +
  28. LLMLinguaCompressor + (class in RAGchain.utils.compressor.llm_lingua) +
  29. LLMReranker (class in RAGchain.reranker.llm.llm)
  30. load() (RAGchain.DB.base.BaseDB method) @@ -893,6 +943,9 @@

    L

  31. (RAGchain.preprocess.loader.pdf_link_loader.PdfLinkLoader method)
    32. +
  32. (RAGchain.preprocess.loader.rem_loader.RemLoader + method) +
  33. (RAGchain.preprocess.loader.rust_hwp_loader.RustHwpLoader method)
    34. @@ -987,13 +1040,15 @@

    M

  34. RAGchain.benchmark.dataset.dstc11_track5
    35. +
  35. RAGchain.benchmark.dataset.eli5 +
  36. RAGchain.benchmark.dataset.ko_strategy_qa
  37. RAGchain.benchmark.dataset.mr_tydi
  38. RAGchain.benchmark.dataset.msmarco
    39. -
  39. RAGchain.benchmark.dataset.natural_qa +
  40. RAGchain.benchmark.dataset.natural_question
  41. RAGchain.benchmark.dataset.nfcorpus
    42. @@ -1029,6 +1084,9 @@

    M

  42. RAGchain.pipeline.basic
    43. +
  43. + RAGchain.pipeline.google_search +
  44. RAGchain.pipeline.rerank
  45. RAGchain.pipeline.visconde @@ -1052,6 +1110,8 @@

    M

  46. RAGchain.preprocess.loader.nougat_pdf_loader
  47. RAGchain.preprocess.loader.pdf_link_loader +
    48. +
  48. RAGchain.preprocess.loader.rem_loader
  49. RAGchain.preprocess.loader.rust_hwp_loader
    50. @@ -1079,6 +1139,12 @@

    M

  50. RAGchain.reranker.bm25
    51. +
  51. RAGchain.reranker.importance +
    52. +
  52. RAGchain.reranker.importance.simple_importance +
    53. +
  53. RAGchain.reranker.importance.weighted_importance +
  54. RAGchain.reranker.llm
  55. RAGchain.reranker.llm.llm @@ -1147,6 +1213,8 @@

    M

  56. RAGchain.utils.compressor.cluster_time
    57. +
  57. RAGchain.utils.compressor.llm_lingua +
  58. RAGchain.utils.embed
  59. RAGchain.utils.embed.embeddingfactory @@ -1182,6 +1250,17 @@

    M

  60. RAGchain.utils.vectorstore.pinecone
    61. +
  61. RAGchain.utils.websearch +
    62. +
  62. + RAGchain.utils.websearch.base +
    63. +
  63. RAGchain.utils.websearch.bing_search +
    64. +
  64. RAGchain.utils.websearch.brave_search +
    65. +
  65. RAGchain.utils.websearch.google_search +
      66. @@ -1205,8 +1284,8 @@

      M

      N

      - + + + + + + + RAGchain.benchmark.dataset.natural_question @@ -299,19 +307,27 @@

      Python Module Index

      RAGchain.pipeline + + + + + + RAGchain.pipeline.basic + RAGchain.pipeline.google_search + @@ -384,11 +400,19 @@

      Python Module Index

      + RAGchain.preprocess.loader.rem_loader + + + + + + + + + + + + + + + + + + + + + + RAGchain.utils.compressor.llm_lingua + + + + + + @@ -761,6 +817,46 @@

      Python Module Index

      + + + + + + + + + + + + + + + + + + + + + + + + +
      +
    • + RAGchain.benchmark.dataset.eli5 + + +
    • RAGchain.benchmark.dataset.ko_strategy_qa @@ -1442,10 +1529,11 @@

      R

    • - RAGchain.benchmark.dataset.natural_qa + RAGchain.benchmark.dataset.natural_question
      • @@ -1576,6 +1664,14 @@

      R

      +
    • + RAGchain.pipeline.google_search + + +
    • RAGchain.pipeline.rerank @@ -1663,6 +1759,14 @@

      R

      • +
    • + RAGchain.preprocess.loader.rem_loader + + +
    • RAGchain.preprocess.loader.rust_hwp_loader @@ -1758,6 +1862,30 @@

      R

    • module
      • +
    • + RAGchain.reranker.importance + + +
      • +
    • + RAGchain.reranker.importance.simple_importance + + +
      • +
    • + RAGchain.reranker.importance.weighted_importance + + +
    • RAGchain.reranker.llm @@ -1880,17 +2008,17 @@

      R

      • - -       		-
        -
      • +
      • RAGchain.reranker.upr
        • +
      +       		+
      • RAGchain.reranker.upr.upr @@ -2010,6 +2138,14 @@

        R

    • + RAGchain.utils.compressor.llm_lingua + + +
      • +
    • RAGchain.utils.embed
        @@ -2133,6 +2269,46 @@

        R

      • module
      • +
    • + RAGchain.utils.websearch + + +
      • +
    • + RAGchain.utils.websearch.base + + +
      • +
    • + RAGchain.utils.websearch.bing_search + + +
      • +
    • + RAGchain.utils.websearch.brave_search + + +
      • +
    • + RAGchain.utils.websearch.google_search + + +
    • RAGchainChatPromptTemplate (class in RAGchain.schema.prompt)
      • @@ -2150,6 +2326,9 @@

      R

    • RedisLinker (class in RAGchain.utils.linker.redis_linker) +
      • +
    • RemLoader + (class in RAGchain.preprocess.loader.rem_loader)
    • remove_duplicate() (in module RAGchain.reranker.llm.rank_gpt)
      • @@ -2167,6 +2346,14 @@

      R

    • (RAGchain.reranker.bm25.BM25Reranker method)
      • +
    • + (RAGchain.reranker.importance.simple_importance.SimpleImportanceReranker + method) +
      • +
    • + (RAGchain.reranker.importance.weighted_importance.WeightedImportanceReranker + method) +
    • (RAGchain.reranker.llm.llm.LLMReranker method)
    • (RAGchain.reranker.pygaggle.base.Reranker method) @@ -2183,7 +2370,7 @@

      R

    • (RAGchain.reranker.upr.upr.UPRReranker method) -
      • +
    • rerank_sliding_window() @@ -2335,6 +2522,9 @@

      R

      (RAGchain.pipeline.basic.BasicRunPipeline attribute)
      •     + RAGchain.benchmark.dataset.eli5 + +
          @@ -197,8 +205,8 @@

      Python Module Index

          - RAGchain.benchmark.dataset.natural_qa
      +
          + RAGchain.pipeline.base
          - RAGchain.pipeline.base
          - RAGchain.pipeline.basic
          - RAGchain.preprocess.loader.rust_hwp_loader
          + RAGchain.preprocess.loader.rust_hwp_loader +
          @@ -462,6 +486,30 @@

      Python Module Index
          + RAGchain.reranker.importance + +
          + RAGchain.reranker.importance.simple_importance +
          + RAGchain.reranker.importance.weighted_importance +
          @@ -661,9 +709,17 @@

      Python Module Index

          - RAGchain.utils.embed +
          + RAGchain.utils.embed
          RAGchain.utils.vectorstore.pinecone +
          + RAGchain.utils.websearch + +
          + RAGchain.utils.websearch.base + +
          + RAGchain.utils.websearch.bing_search + +
          + RAGchain.utils.websearch.brave_search + +
          + RAGchain.utils.websearch.google_search +
      diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js index 1b850ac7..85abec8e 100644 --- a/docs/build/html/searchindex.js +++ b/docs/build/html/searchindex.js @@ -1,30 +1,30 @@ Search.setIndex({ - "docnames": ["RAGchain", "RAGchain.DB", "RAGchain.benchmark", "RAGchain.benchmark.answer", "RAGchain.benchmark.dataset", "RAGchain.benchmark.extra", "RAGchain.benchmark.retrieval", "RAGchain.pipeline", "RAGchain.preprocess", "RAGchain.preprocess.loader", "RAGchain.preprocess.text_splitter", "RAGchain.reranker", "RAGchain.reranker.llm", "RAGchain.reranker.pygaggle", "RAGchain.reranker.pygaggle.model", "RAGchain.reranker.tart", "RAGchain.reranker.time", "RAGchain.reranker.upr", "RAGchain.retrieval", "RAGchain.schema", "RAGchain.utils", "RAGchain.utils.compressor", "RAGchain.utils.embed", "RAGchain.utils.linker", "RAGchain.utils.vectorstore", "index", "modules"], - "filenames": ["RAGchain.rst", "RAGchain.DB.rst", "RAGchain.benchmark.rst", "RAGchain.benchmark.answer.rst", "RAGchain.benchmark.dataset.rst", "RAGchain.benchmark.extra.rst", "RAGchain.benchmark.retrieval.rst", "RAGchain.pipeline.rst", "RAGchain.preprocess.rst", "RAGchain.preprocess.loader.rst", "RAGchain.preprocess.text_splitter.rst", "RAGchain.reranker.rst", "RAGchain.reranker.llm.rst", "RAGchain.reranker.pygaggle.rst", "RAGchain.reranker.pygaggle.model.rst", "RAGchain.reranker.tart.rst", "RAGchain.reranker.time.rst", "RAGchain.reranker.upr.rst", "RAGchain.retrieval.rst", "RAGchain.schema.rst", "RAGchain.utils.rst", "RAGchain.utils.compressor.rst", "RAGchain.utils.embed.rst", "RAGchain.utils.linker.rst", "RAGchain.utils.vectorstore.rst", "index.rst", "modules.rst"], - "titles": ["RAGchain package", "RAGchain.DB package", "RAGchain.benchmark package", "RAGchain.benchmark.answer package", "RAGchain.benchmark.dataset package", "RAGchain.benchmark.extra package", "RAGchain.benchmark.retrieval package", "RAGchain.pipeline package", "RAGchain.preprocess package", "RAGchain.preprocess.loader package", "RAGchain.preprocess.text_splitter package", "RAGchain.reranker package", "RAGchain.reranker.llm package", "RAGchain.reranker.pygaggle package", "RAGchain.reranker.pygaggle.model package", "RAGchain.reranker.tart package", "RAGchain.reranker.time package", "RAGchain.reranker.upr package", "RAGchain.retrieval package", "RAGchain.schema package", "RAGchain.utils package", "RAGchain.utils.compressor package", "RAGchain.utils.embed package", "RAGchain.utils.linker package", "RAGchain.utils.vectorstore package", "Welcome to RAGchain\u2019s documentation!", "RAGchain"], + "docnames": ["RAGchain", "RAGchain.DB", "RAGchain.benchmark", "RAGchain.benchmark.answer", "RAGchain.benchmark.dataset", "RAGchain.benchmark.extra", "RAGchain.benchmark.retrieval", "RAGchain.pipeline", "RAGchain.preprocess", "RAGchain.preprocess.loader", "RAGchain.preprocess.text_splitter", "RAGchain.reranker", "RAGchain.reranker.importance", "RAGchain.reranker.llm", "RAGchain.reranker.pygaggle", "RAGchain.reranker.pygaggle.model", "RAGchain.reranker.tart", "RAGchain.reranker.time", "RAGchain.reranker.upr", "RAGchain.retrieval", "RAGchain.schema", "RAGchain.utils", "RAGchain.utils.compressor", "RAGchain.utils.embed", "RAGchain.utils.linker", "RAGchain.utils.vectorstore", "RAGchain.utils.websearch", "index", "modules"], + "filenames": ["RAGchain.rst", "RAGchain.DB.rst", "RAGchain.benchmark.rst", "RAGchain.benchmark.answer.rst", "RAGchain.benchmark.dataset.rst", "RAGchain.benchmark.extra.rst", "RAGchain.benchmark.retrieval.rst", "RAGchain.pipeline.rst", "RAGchain.preprocess.rst", "RAGchain.preprocess.loader.rst", "RAGchain.preprocess.text_splitter.rst", "RAGchain.reranker.rst", "RAGchain.reranker.importance.rst", "RAGchain.reranker.llm.rst", "RAGchain.reranker.pygaggle.rst", "RAGchain.reranker.pygaggle.model.rst", "RAGchain.reranker.tart.rst", "RAGchain.reranker.time.rst", "RAGchain.reranker.upr.rst", "RAGchain.retrieval.rst", "RAGchain.schema.rst", "RAGchain.utils.rst", "RAGchain.utils.compressor.rst", "RAGchain.utils.embed.rst", "RAGchain.utils.linker.rst", "RAGchain.utils.vectorstore.rst", "RAGchain.utils.websearch.rst", "index.rst", "modules.rst"], + "titles": ["RAGchain package", "RAGchain.DB package", "RAGchain.benchmark package", "RAGchain.benchmark.answer package", "RAGchain.benchmark.dataset package", "RAGchain.benchmark.extra package", "RAGchain.benchmark.retrieval package", "RAGchain.pipeline package", "RAGchain.preprocess package", "RAGchain.preprocess.loader package", "RAGchain.preprocess.text_splitter package", "RAGchain.reranker package", "RAGchain.reranker.importance package", "RAGchain.reranker.llm package", "RAGchain.reranker.pygaggle package", "RAGchain.reranker.pygaggle.model package", "RAGchain.reranker.tart package", "RAGchain.reranker.time package", "RAGchain.reranker.upr package", "RAGchain.retrieval package", "RAGchain.schema package", "RAGchain.utils package", "RAGchain.utils.compressor package", "RAGchain.utils.embed package", "RAGchain.utils.linker package", "RAGchain.utils.vectorstore package", "RAGchain.utils.websearch package", "Welcome to RAGchain\u2019s documentation!", "RAGchain"], "terms": { - "db": [0, 2, 4, 7, 18, 20, 23, 26], - "submodul": [0, 8, 26], - "base": [0, 3, 5, 6, 8, 9, 12, 14, 15, 16, 17, 19, 20, 22, 26], - "basedb": [0, 1, 4, 7, 18, 20], - "creat": [0, 1, 7, 15, 18, 19, 22, 23], + "db": [0, 2, 4, 7, 19, 21, 24, 28], + "submodul": [0, 8, 28], + "base": [0, 3, 5, 6, 8, 9, 12, 13, 15, 16, 17, 18, 20, 21, 23, 28], + "basedb": [0, 1, 4, 7, 19, 21], + "creat": [0, 1, 7, 16, 19, 20, 23, 24], "create_or_load": [0, 1], - "db_type": [0, 1, 18, 19], - "fetch": [0, 1, 18], + "db_type": [0, 1, 19, 20], + "fetch": [0, 1, 19], "get_db_origin": [0, 1], - "load": [0, 1, 7, 8, 9, 20, 23], - "save": [0, 1, 7, 18], - "search": [0, 1, 4, 5, 18, 20, 25], - "mongo_db": [0, 18, 26], + "load": [0, 1, 7, 8, 9, 21, 24], + "save": [0, 1, 7, 19], + "search": [0, 1, 4, 5, 19, 20, 21, 26, 27], + "mongo_db": [0, 19, 28], "mongodb": [0, 1], "set_db": [0, 1], - "pickle_db": [0, 20, 26], - "pickledb": [0, 1, 7, 20], - "benchmark": [0, 26], - "retriev": [0, 1, 2, 4, 7, 11, 12, 13, 15, 17, 20, 23, 26], + "pickle_db": [0, 21, 28], + "pickledb": [0, 1, 7, 21], + "benchmark": [0, 28], + "retriev": [0, 1, 2, 4, 7, 11, 13, 14, 16, 18, 21, 24, 28], "main": [], - "metric": [0, 2, 4, 5, 19], - "util": [0, 26], + "metric": [0, 2, 4, 5, 20], + "util": [0, 28], "cos_sim": [], "dot_scor": [], "download_and_unzip": [], @@ -32,42 +32,42 @@ Search.setIndex({ "unzip": [], "write_to_json": [], "write_to_tsv": [], - "llm": [0, 7, 11, 18, 20], - "basellm": [7, 20], + "llm": [0, 7, 11, 19, 21], + "basellm": [7, 21], "add_chat_histori": [], "ask": [], "clear_chat_histori": [], "gener": [3, 4], "generate_chat": [], "stream_end_token": [], - "basic": [0, 26], + "basic": [0, 28], "basicllm": [], "chat_histori": [], "chat_offset": [], "get_messag": [], "retrieved_passag": [], - "rerank": [0, 20, 26], + "rerank": [0, 21, 28], "rerankllm": [], - "viscond": [0, 20, 26], + "viscond": [0, 21, 28], "viscondellm": [], "strategyqa_prompt": [0, 7], - "pipelin": [0, 2, 4, 26], + "pipelin": [0, 2, 4, 28], "basepipelin": [], - "run": [0, 7, 15], + "run": [0, 7, 16], "basicdatasetpipelin": [], "basicingestpipelin": [0, 7], "basicrunpipelin": [0, 7], - "selector": 18, - "moduleselector": 18, - "get": [7, 9, 20, 22], - "select": 21, + "selector": 19, + "moduleselector": 19, + "get": [7, 9, 21, 22, 23], + "select": 22, "select_db": [], "select_file_load": [], "select_llm": [], "select_retriev": [], "select_text_splitt": [], - "preprocess": [0, 2, 4, 7, 26], - "loader": [0, 7, 8, 20], + "preprocess": [0, 2, 4, 7, 28], + "loader": [0, 7, 8, 21], "dataset_load": [0, 8], "excel_load": [0, 8], "file_load": [0, 7, 8], @@ -79,128 +79,128 @@ Search.setIndex({ "rank_gpt": [0, 11], "pygaggl": [0, 11], "monot5": [0, 11], - "transform": [0, 11, 20], + "transform": [0, 11, 21, 22], "tart": [0, 11], "modeling_enc_t5": [0, 11], "tokenization_enc_t5": [0, 11], "upr": [0, 11], - "basererank": [0, 7, 11, 12, 13, 15, 17], - "rerank_sliding_window": [11, 12], - "baseretriev": [0, 2, 4, 7, 18], - "create_db": [0, 18], - "duplicate_check": [0, 18], - "fetch_data": [0, 18], - "fetch_data_from_db_origin": [0, 18], - "fetch_each_db": [0, 18], - "ingest": [0, 2, 4, 7, 18], - "is_creat": [0, 18], - "retrieve_id": [0, 2, 18], - "retrieve_id_with_scor": [0, 2, 18], - "retrieve_with_filt": [0, 18], - "search_data": [0, 18], - "search_data_from_db_origin": [0, 18], - "search_each_db": [0, 18], - "bm25_retriev": [0, 26], - "bm25retriev": [0, 7, 18], - "load_data": [0, 18], - "persist": [0, 18], - "hybrid": [0, 26], - "hybridretriev": [0, 18], - "min_max_norm": [0, 18], - "retrieve_id_with_scores_parallel": [0, 18], - "hyde": [0, 26], - "hyderetriev": [0, 18], - "basic_system_prompt": [0, 18], - "make_prompt": [0, 19], - "vectordb_retriev": [0, 26], - "vectordbretriev": [0, 18], - "schema": [0, 20, 26], - "db_origin": [0, 18, 26], - "dborigin": [0, 1, 19], - "db_path": [0, 18, 19], - "to_dict": [0, 19], - "passag": [0, 1, 2, 3, 4, 6, 7, 10, 11, 12, 13, 15, 16, 17, 18, 20, 21, 23, 24, 26], - "filepath": [0, 1, 9, 18, 19], - "id": [0, 1, 2, 4, 6, 13, 15, 18, 19, 23], - "is_exactly_sam": [0, 19], - "metadata_etc": [0, 1, 18, 19], - "next_passage_id": [0, 19], - "previous_passage_id": [0, 19], - "to_docu": [0, 19], - "emb": [0, 18, 20, 24], + "basererank": [0, 7, 11, 13, 14, 16, 18], + "rerank_sliding_window": [11, 13], + "baseretriev": [0, 2, 4, 7, 19], + "create_db": [0, 19], + "duplicate_check": [0, 19], + "fetch_data": [0, 19], + "fetch_data_from_db_origin": [0, 19], + "fetch_each_db": [0, 19], + "ingest": [0, 2, 4, 7, 19], + "is_creat": [0, 19], + "retrieve_id": [0, 2, 19], + "retrieve_id_with_scor": [0, 2, 19], + "retrieve_with_filt": [0, 19], + "search_data": [0, 19], + "search_data_from_db_origin": [0, 19], + "search_each_db": [0, 19], + "bm25_retriev": [0, 28], + "bm25retriev": [0, 7, 19], + "load_data": [0, 19], + "persist": [0, 19], + "hybrid": [0, 28], + "hybridretriev": [0, 19], + "min_max_norm": [0, 19], + "retrieve_id_with_scores_parallel": [0, 19], + "hyde": [0, 28], + "hyderetriev": [0, 19], + "basic_system_prompt": [0, 19], + "make_prompt": [0, 20], + "vectordb_retriev": [0, 28], + "vectordbretriev": [0, 19], + "schema": [0, 21, 28], + "db_origin": [0, 19, 28], + "dborigin": [0, 1, 20], + "db_path": [0, 19, 20], + "to_dict": [0, 20], + "passag": [0, 1, 2, 3, 4, 6, 7, 10, 11, 12, 13, 14, 16, 17, 18, 19, 21, 22, 24, 25, 26, 28], + "filepath": [0, 1, 9, 19, 20], + "id": [0, 1, 2, 4, 6, 14, 16, 19, 20, 24], + "is_exactly_sam": [0, 20], + "metadata_etc": [0, 1, 19, 20], + "next_passage_id": [0, 20], + "previous_passage_id": [0, 20], + "to_docu": [0, 20], + "emb": [0, 19, 21, 25], "delete_embed": [], - "embeddingfactori": [0, 20], - "linker": [0, 1, 20], - "redisdbsingleton": 23, - "vectorstor": [0, 18, 20], - "chroma": [0, 20], - "pinecon": [0, 20], - "evidence_extractor": [0, 26], - "evidenceextractor": [0, 20], - "extract": [0, 20], - "file_cach": [0, 26], - "filecach": [0, 20], - "delete_dupl": [0, 20], - "query_decompos": [0, 26], - "querydecomposit": [0, 7, 20], - "decompos": [0, 7, 20], - "decompose_prompt": [0, 20], - "filecheck": [0, 20], - "check_typ": [0, 20], - "is_exist": [0, 20], + "embeddingfactori": [0, 21], + "linker": [0, 1, 21], + "redisdbsingleton": 24, + "vectorstor": [0, 19, 21], + "chroma": [0, 21], + "pinecon": [0, 21], + "evidence_extractor": [0, 28], + "evidenceextractor": [0, 21], + "extract": [0, 21], + "file_cach": [0, 28], + "filecach": [0, 21], + "delete_dupl": [0, 21], + "query_decompos": [0, 28], + "querydecomposit": [0, 7, 21], + "decompos": [0, 7, 21], + "decompose_prompt": [0, 21], + "filecheck": [0, 21], + "check_typ": [0, 21], + "is_exist": [0, 21], "stoppingcriteriasub": [], - "set_api_bas": [0, 20], - "slice_stop_word": [0, 20], - "text_modifi": [0, 20], - "class": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], - "abc": [1, 2, 3, 4, 6, 7, 10, 11, 18, 21, 24], - "abstract": [1, 2, 3, 4, 6, 7, 10, 11, 13, 18, 21, 23, 24], - "arg": [1, 2, 7, 9, 10, 11, 12, 13, 14, 15, 18, 19, 23], - "kwarg": [1, 2, 4, 7, 9, 10, 11, 12, 13, 14, 15, 18, 19, 20, 21, 23, 24], - "properti": [1, 3, 6], - "str": [1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 22, 23, 24], - "list": [1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24], - "uuid": [1, 2, 18, 19, 23], - "none": [1, 2, 4, 6, 7, 9, 10, 12, 13, 14, 15, 18, 19, 20, 24], - "from": [1, 2, 5, 6, 7, 9, 10, 12, 13, 15, 16, 18, 19, 20, 21, 24], - "us": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 15, 17, 18, 19, 20, 22, 23, 24], - "filter": [1, 18], - "dict": [1, 6, 7, 9, 12, 15, 18, 19, 23, 24], - "thi": [1, 4, 5, 7, 9, 10, 12, 13, 15, 17, 18, 19, 20, 22, 25], - "function": [1, 12, 15, 20], - "can": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 15, 18, 19, 20, 22, 23, 24, 25], - "you": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 15, 18, 19, 20, 22, 24, 25], - "add": [1, 5, 19], - "more": [1, 5, 12, 20], - "condit": [1, 18], - "i": [1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 15, 16, 17, 18, 19, 20, 22, 23, 24], - "an": [1, 7, 9, 13, 22, 23], + "set_api_bas": [0, 21], + "slice_stop_word": [0, 21], + "text_modifi": [0, 21], + "class": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], + "abc": [1, 2, 3, 4, 6, 7, 10, 11, 19, 22, 25, 26], + "abstract": [1, 2, 3, 4, 6, 7, 10, 11, 14, 19, 22, 24, 25, 26], + "arg": [1, 2, 7, 9, 10, 11, 13, 14, 15, 16, 19, 20, 22, 24], + "kwarg": [1, 2, 4, 7, 9, 10, 11, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25], + "properti": [1, 3, 6, 22], + "str": [1, 2, 3, 4, 6, 7, 9, 10, 11, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26], + "list": [1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26], + "uuid": [1, 2, 19, 20, 24], + "none": [1, 2, 4, 6, 7, 9, 10, 13, 14, 15, 16, 19, 20, 21, 22, 25, 26], + "from": [1, 2, 5, 6, 7, 9, 10, 13, 14, 16, 17, 19, 20, 21, 22, 25, 26], + "us": [1, 2, 3, 4, 5, 7, 9, 10, 11, 13, 14, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26], + "filter": [1, 19], + "dict": [1, 6, 7, 9, 13, 16, 19, 20, 22, 24, 25, 26], + "thi": [1, 4, 5, 7, 9, 10, 13, 14, 16, 18, 19, 20, 21, 22, 23, 26, 27], + "function": [1, 13, 16, 21], + "can": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 16, 19, 20, 21, 23, 24, 25, 27], + "you": [1, 2, 3, 4, 5, 7, 9, 10, 11, 13, 16, 19, 20, 21, 23, 25, 27], + "add": [1, 5, 20], + "more": [1, 5, 12, 13, 20, 21, 22], + "condit": [1, 19], + "i": [1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 16, 17, 18, 19, 20, 21, 23, 24, 25], + "an": [1, 7, 9, 14, 22, 23, 24], "implicit": 1, "AND": 1, - "oper": [1, 23], - "mongo_url": [1, 18], - "db_name": [1, 18], - "collection_nam": [1, 18, 24], - "With": 20, - "": [4, 7, 10, 13, 15, 19, 20], - "find": 20, - "param": [2, 4, 9, 16, 18, 20], - "filter_dict": 18, - "queri": [2, 6, 11, 12, 13, 14, 15, 17, 18, 20], - "return": [1, 2, 4, 7, 9, 10, 11, 12, 15, 17, 18, 19, 20, 22], - "result": [0, 2, 4, 6, 9, 18, 19, 20], - "save_path": [1, 7, 18, 20], - "which": [6, 7, 9, 10, 15, 18, 19, 20], - "match": 18, - "all": [4, 7, 9, 15, 18, 20, 24], - "valu": [4, 6, 7, 15, 18, 19, 22], + "oper": [1, 24], + "mongo_url": [1, 19], + "db_name": [1, 19], + "collection_nam": [1, 19, 25], + "With": [21, 22], + "": [4, 7, 10, 14, 16, 20, 21, 26], + "find": 21, + "param": [1, 2, 4, 9, 12, 17, 19, 20, 21], + "filter_dict": 19, + "queri": [2, 6, 11, 13, 14, 15, 16, 18, 19, 21, 26], + "return": [1, 2, 4, 7, 9, 10, 11, 13, 16, 18, 19, 20, 21, 22, 23, 26], + "result": [0, 2, 4, 6, 9, 19, 20, 21], + "save_path": [1, 7, 19, 21], + "which": [6, 7, 9, 10, 16, 19, 20, 21], + "match": 19, + "all": [4, 7, 9, 16, 19, 21, 25], + "valu": [4, 6, 7, 16, 19, 20, 23, 26], "correspond": [], - "kei": [6, 9, 12, 18], - "when": [4, 5, 12, 15, 18, 19, 20, 23], - "exist": [1, 7, 20, 23], - "empti": 20, + "kei": [6, 9, 13, 19, 20, 22], + "when": [4, 5, 13, 16, 19, 20, 21, 22, 24], + "exist": [1, 7, 21, 24], + "empti": 21, "basic_retrieval_evalu": [2, 6], - "strategyqa": [4, 20], + "strategyqa": [4, 21], "stretagyqa_retrieval_evalu": [2, 6], "apfactori": [], "retrieval_metric_funct": [2, 3, 6], @@ -220,70 +220,70 @@ Search.setIndex({ "rrfactori": [], "recallfactori": [], "topkaccuracyfactori": [], - "tensor": 14, - "b": 15, - "comput": 15, - "cosin": 24, - "similar": [2, 10, 18], + "tensor": 15, + "b": 16, + "comput": 16, + "cosin": 25, + "similar": [2, 10, 19], "j": 10, "matrix": [], "re": [], "dot": 9, "product": [], "dot_prod": [], - "url": [9, 20], + "url": [9, 21], "out_dir": [], "chunk_siz": 10, - "int": [2, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 17, 18, 20, 24], + "int": [1, 2, 4, 5, 6, 7, 9, 10, 13, 14, 15, 16, 18, 19, 20, 21, 25, 26], "1024": [], - "download": [9, 13], + "download": [9, 14], "progress": [], "bar": [], "tqdm": [], - "http": [9, 12, 13, 15, 17, 18, 20], + "http": [9, 13, 14, 16, 18, 19, 21], "stackoverflow": [], - "com": [9, 12, 13, 15, 17], - "question": [2, 3, 4, 7, 12, 17, 18, 19, 20], + "com": [9, 13, 14, 16, 18], + "question": [2, 3, 4, 7, 13, 18, 19, 20, 21], "15644964": [], "python": 10, - "local": [1, 23], + "local": [1, 24], "path": 9, - "file": [1, 6, 7, 9, 18, 20, 23, 25], - "option": [1, 4, 9, 13, 15, 19], + "file": [1, 6, 7, 9, 19, 20, 21, 24, 27], + "option": [1, 4, 9, 14, 16, 20], "chunk": 10, - "default": [4, 9, 15, 18, 19, 20, 24], + "default": [4, 9, 16, 19, 20, 21, 25], "zip_fil": [], "output_fil": [], - "data": [1, 4, 7, 9, 18, 19, 20], + "data": [1, 4, 7, 9, 19, 20, 21], "qrel": 6, - "float": [2, 3, 5, 6, 7, 13, 16, 17, 18, 20, 24], + "float": [2, 3, 5, 6, 7, 12, 14, 17, 18, 19, 21, 25], "k_valu": 6, - "paramet": [1, 3, 6, 7, 9, 11, 12, 15, 16, 17, 19, 20, 21], - "The": [1, 4, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17, 19, 20], - "dictionari": [6, 19], + "paramet": [1, 3, 6, 7, 9, 11, 12, 13, 16, 17, 18, 20, 21, 22], + "The": [1, 4, 6, 7, 9, 10, 11, 12, 13, 14, 16, 17, 18, 20, 21, 22], + "dictionari": [6, 20], "query_id": 6, "doc_id": 6, - "relev": [6, 7, 16, 18, 20], - "score": [2, 6, 7, 11, 13, 16, 18], + "relev": [6, 7, 12, 17, 19, 21], + "score": [2, 6, 7, 11, 12, 14, 17, 19], "k": 6, - "evalu": [0, 2, 4, 5, 7, 20], - "should": [1, 4, 6, 15, 19, 25], + "evalu": [0, 2, 4, 5, 7, 21], + "should": [1, 4, 6, 16, 20, 27], "done": 6, "differ": 6, "solut": [3, 6], "pred": [3, 6], "metrics_factori": [], - "articl": 20, + "articl": 21, "geva2021strategyqa": [], - "titl": [7, 13, 20], + "titl": [7, 14, 20, 21], "did": 7, "aristotl": [], "laptop": [], - "A": [4, 9, 11, 12, 13, 15, 17, 19, 20, 24], - "answer": [0, 2, 7, 18], + "A": [4, 9, 11, 13, 14, 16, 18, 20, 21, 22, 25], + "answer": [0, 2, 7, 19], "reason": [], "strategi": [], - "author": 20, + "author": 21, "geva": [], "mor": [], "khashabi": [], @@ -296,129 +296,129 @@ Search.setIndex({ "dan": [], "berant": [], "jonathan": [], - "journal": 20, + "journal": 21, "transact": [], "associ": [], "linguist": [], "tacl": [], - "year": 20, - "2021": 20, - "note": 19, - "github": [9, 12, 13, 15, 17, 20], + "year": 21, + "2021": 21, + "note": 20, + "github": [9, 13, 14, 16, 18, 21], "eladseg": [], - "blob": 13, + "blob": 14, "dev": [], - "json": 23, - "1": [4, 6, 7, 15, 16, 20], + "json": 24, + "1": [4, 6, 7, 12, 16, 17, 21], "reciproc": 6, - "rank": [6, 11, 12, 13, 15, 17], + "rank": [6, 11, 13, 14, 16, 18], "rr": [2, 6], - "first": [1, 6, 7, 9, 10, 16, 18, 19, 20], - "item": [6, 12], + "first": [1, 6, 7, 9, 10, 12, 17, 19, 20, 21], + "item": [6, 13], "mean": 6, - "whole": [6, 20], + "whole": [6, 21], "mrr": 6, "stream": [], - "bool": [2, 4, 7, 9, 10, 13, 14, 15, 17, 19, 20, 21], - "fals": [2, 4, 10, 12, 13, 15, 17, 19, 20, 21, 23], + "bool": [2, 4, 7, 9, 10, 14, 15, 16, 18, 20, 21, 22], + "fals": [2, 4, 10, 13, 14, 16, 18, 20, 21, 22, 24], "run_retriev": [], - "true": [2, 4, 7, 9, 10, 14, 19, 20], - "tupl": [1, 2, 7, 9, 10, 14, 17, 18], - "model": [11, 12, 13, 15, 17, 18, 19, 20], - "openai": [7, 12, 20, 22], + "true": [2, 4, 7, 9, 10, 15, 20, 21], + "tupl": [1, 2, 7, 9, 10, 15, 18, 19], + "model": [11, 13, 14, 16, 18, 19, 20, 21, 22], + "openai": [7, 13, 21, 23], "api": 9, - "classmethod": [], - "prompt": [0, 7, 20, 26], + "classmethod": 20, + "prompt": [0, 7, 21, 22, 28], "stream_func": [], - "callabl": [19, 24], - "If": [2, 3, 4, 7, 9, 19, 20], - "each": [4, 7, 9, 18, 19, 20, 21], - "respons": 12, - "And": [5, 16, 18, 20], + "callabl": [20, 25], + "If": [2, 3, 4, 7, 9, 20, 21], + "each": [4, 7, 9, 19, 20, 21, 22], + "respons": 13, + "And": [5, 12, 17, 19, 21], "cl": [], "end": [], - "messag": [0, 7, 12, 19], - "top_k": [2, 18], - "5": [2, 4, 5, 7, 12, 18, 20], + "messag": [0, 7, 13, 20], + "top_k": [2, 19], + "5": [2, 4, 5, 7, 12, 13, 19, 21, 26], "endofstream": [], - "model_nam": [12, 13, 17], - "gpt": [12, 20], - "3": [7, 12, 20], - "turbo": 12, - "api_bas": [12, 20], + "model_nam": [13, 14, 18, 22], + "gpt": [13, 21], + "3": [7, 13, 21], + "turbo": 13, + "api_bas": [13, 21], "prompt_func": [], - "static": [2, 9, 13, 18, 19, 23], + "static": [2, 9, 14, 19, 20, 24], "retrieve_s": 7, - "10": [12, 20, 25], + "10": [13, 21, 27], "use_passage_count": 7, - "window_s": [10, 12], - "code": [12, 13, 20], - "inspir": [18, 20], - "paper": [4, 9, 20], - "its": [20, 24], - "repo": [12, 20], - "inproceed": 20, - "1007": 20, - "978": 20, - "031": 20, - "28238": 20, - "6_44": 20, - "pereira": 20, - "jayr": 20, - "fidalgo": 20, - "robson": 20, - "lotufo": 20, - "roberto": 20, - "nogueira": 20, - "rodrigo": 20, - "multi": 20, - "document": [7, 9, 10, 13, 14, 19, 20], - "qa": [4, 20], - "nbsp": 20, - "neural": 20, - "2023": [20, 25], - "isbn": 20, - "28237": 20, - "9": 20, - "publish": 20, - "springer": 20, - "verlag": 20, - "address": 20, - "berlin": 20, - "heidelberg": 20, - "doi": 20, - "org": [18, 20], - "booktitl": 20, - "advanc": 20, - "inform": [7, 10, 12, 20], - "45th": 20, - "european": 20, - "confer": 20, - "ecir": 20, - "dublin": 20, - "ireland": 20, - "april": 20, - "2": [5, 7, 18, 20], - "6": 20, - "proceed": 20, - "part": 20, - "ii": 20, - "page": [9, 20, 25], - "534": 20, - "543": 20, - "numpag": 20, - "locat": 20, - "text": [7, 9, 10, 11, 12, 13, 14, 19, 20], + "window_s": [10, 13], + "code": [13, 14, 21], + "inspir": [19, 21], + "paper": [4, 9, 21], + "its": [21, 25], + "repo": [13, 21], + "inproceed": 21, + "1007": 21, + "978": 21, + "031": 21, + "28238": 21, + "6_44": 21, + "pereira": 21, + "jayr": 21, + "fidalgo": 21, + "robson": 21, + "lotufo": 21, + "roberto": 21, + "nogueira": 21, + "rodrigo": 21, + "multi": 21, + "document": [7, 9, 10, 14, 15, 20, 21], + "qa": [4, 21], + "nbsp": 21, + "neural": 21, + "2023": [21, 27], + "isbn": 21, + "28237": 21, + "9": 21, + "publish": 21, + "springer": 21, + "verlag": 21, + "address": 21, + "berlin": 21, + "heidelberg": 21, + "doi": 21, + "org": [19, 21], + "booktitl": 21, + "advanc": 21, + "inform": [7, 10, 13, 21, 22], + "45th": 21, + "european": 21, + "confer": 21, + "ecir": 21, + "dublin": 21, + "ireland": 21, + "april": 21, + "2": [5, 7, 19, 21, 22], + "6": 21, + "proceed": 21, + "part": 21, + "ii": 21, + "page": [9, 21, 27], + "534": 21, + "543": 21, + "numpag": 21, + "locat": 21, + "text": [7, 9, 10, 11, 13, 14, 15, 20, 21], "davinci": [], "003": [], "decompose_model_nam": [], "50": [5, 10], - "For": [7, 13, 18], - "exampl": [7, 13, 18, 20], + "For": [7, 14, 19], + "exampl": [7, 14, 19, 21], "explan": 7, "just": 7, "ye": 7, - "n": [7, 20], + "n": [7, 21], "san": 7, "tropez": 7, "song": 7, @@ -429,8 +429,8 @@ Search.setIndex({ "band": 7, "pink": 7, "floyd": 7, - "wa": [7, 11, 12, 13, 15, 17], - "one": [3, 7, 10, 15, 18, 20], + "wa": [7, 11, 13, 14, 16, 18], + "one": [3, 7, 10, 16, 19, 21], "sever": 7, "consid": 7, "best": 7, @@ -439,7 +439,7 @@ Search.setIndex({ "riviera": 7, "known": 7, "c\u00f4te": 7, - "d": [7, 20], + "d": [7, 20, 21], "azur": 7, "kot": 7, "da\u02c8zy\u0281": 7, @@ -447,7 +447,7 @@ Search.setIndex({ "c\u00f2sta": 7, "\u02c8k\u0254st\u0254": 7, "da\u02c8zy\u027e": 7, - "liter": [7, 19], + "liter": [7, 20], "translat": 7, "coast": 7, "mediterranean": 7, @@ -455,7 +455,7 @@ Search.setIndex({ "southeast": 7, "corner": 7, "franc": 7, - "There": [7, 20], + "There": [7, 21], "offici": 7, "boundari": 7, "usual": 7, @@ -472,7 +472,7 @@ Search.setIndex({ "italian": 7, "join": 7, "entir": 7, - "within": [7, 15], + "within": [7, 16], "provenc": 7, "alp": 7, "r\u00e9gion": 7, @@ -504,8 +504,8 @@ Search.setIndex({ "complex": 7, "downtown": 7, "seoul": 7, - "4": [7, 9, 20], - "u": [7, 20], + "4": [7, 9, 21], + "u": [7, 21], "\u02ccs\u00e6n": 7, "tro\u028a\u02c8pe\u026a": 7, "troh": 7, @@ -515,7 +515,7 @@ Search.setIndex({ "sant": 7, "tropetz": 7, "pronounc": 7, - "t": [1, 2, 4, 7, 9, 10, 20], + "t": [1, 2, 4, 7, 9, 10, 21], "t\u0280u\u02c8p": 7, "town": 7, "68": 7, @@ -523,53 +523,53 @@ Search.setIndex({ "42": [4, 5, 7], "mile": 7, "nice": 7, - "100": [7, 10, 12, 15], + "100": [7, 10, 13, 16], "62": 7, "marseil": 7, "var": 7, "depart": 7, "occitania": 7, "southern": 7, - "have": [2, 3, 7, 18, 20], - "about": [7, 19], - "accord": [7, 22], + "have": [2, 3, 7, 19, 21], + "about": [7, 20], + "accord": [7, 23], "further": 7, - "support": [5, 7, 9, 10, 12], - "state": [4, 7, 15], - "therefor": [7, 15], + "support": [5, 7, 9, 10, 13, 22], + "state": [4, 7, 16], + "therefor": [7, 16], "baseload": [7, 9], "retrieval_typ": [], - "ani": [9, 13, 15, 19, 24], + "ani": [9, 14, 16, 20, 22, 25], "text_splitter_typ": [], "recursive_text_splitt": [], "chunk_overlap": 10, - "500": [5, 18], + "500": [5, 19], "ignore_existed_fil": 7, - "repres": [1, 11, 12, 13, 15, 17, 20], + "repres": [1, 11, 13, 14, 16, 18, 21], "handl": 7, "process": 7, - "databas": [1, 7], - "system": [7, 20], + "databas": [1, 7, 9], + "system": [7, 21], "attribut": 1, - "langchain": [7, 10, 20, 24], - "document_load": [7, 20], - "instanc": [15, 19, 23], - "want": [4, 9, 20], - "type": [1, 4, 11, 12, 13, 15, 17, 18, 20, 22, 23], + "langchain": [7, 10, 21, 25, 26], + "document_load": [7, 21], + "instanc": [16, 20, 24], + "want": [4, 9, 21], + "type": [1, 4, 11, 13, 14, 16, 18, 19, 21, 22, 23, 24], "configur": [], "splitter": [7, 10], "flag": [], "indic": [], - "whether": [15, 19], - "ignor": [4, 15], - "alreadi": [1, 2, 4, 15], - "method": [1, 4, 9, 10, 15, 18, 20], + "whether": [16, 20], + "ignor": [4, 16], + "alreadi": [1, 2, 4, 16], + "method": [1, 4, 9, 10, 16, 19, 21, 26], "target_dir": [7, 9], "llm_type": [], "basic_llm": [], "module_nam": [], - "object": [1, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16, 17, 19, 20, 22, 23], - "name": 19, + "object": [1, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24], + "name": 20, "kostrategyqaload": [8, 9], "excelload": [8, 9], "lazy_load": [8, 9], @@ -586,458 +586,458 @@ Search.setIndex({ "split_docu": [8, 10], "recursivetextsplitt": [7, 8, 10], "kostrategyqa": 9, - "dataset": [0, 2, 5, 9, 20], - "huggingfac": [9, 10, 13], + "dataset": [0, 2, 5, 9, 21], + "huggingfac": [9, 10, 14], "via": 9, "internet": 9, "sheet_nam": 9, - "iter": [9, 14], + "iter": [9, 15], "lazi": 9, "hwp_host_url": 9, "filter_ext": 9, "target": [7, 9], "directori": [7, 9], - "onli": [2, 3, 4, 5, 9, 12, 16, 20, 24], - "given": [1, 7, 9, 18, 20], + "onli": [2, 3, 4, 5, 9, 12, 13, 17, 21, 25], + "given": [1, 7, 9, 19, 21, 22], "extens": 9, "element": [1, 9], - "must": [4, 9, 16, 18, 20], - "contain": [9, 10, 13, 20, 25], + "must": [4, 9, 12, 17, 19, 20, 21], + "contain": [9, 10, 14, 21, 27], "prefix": 9, "retry_connect": 9, "hwp": 9, - "convert": 9, - "textload": 20, + "convert": [9, 20], + "textload": 21, "async": 9, "split": [7, 9, 10], - "tabl": [9, 23], + "tabl": [9, 24], "mathpix": 9, "markdown": [9, 10], "odd": 9, - "index": [9, 10, 20, 24, 25], - "without": [2, 9, 18, 23], - "even": [9, 13], - "file_path": [4, 9, 20], + "index": [9, 10, 21, 25, 27], + "without": [2, 9, 19, 24], + "even": [9, 14], + "file_path": [4, 9, 21], "nougat_host": 9, "basepdfload": 9, "section": 9, "start": 9, - "number": [4, 9, 12, 20], + "number": [4, 9, 13, 21], "stop": 9, - "link": [9, 23], - "separ": [9, 10, 20], + "link": [9, 20, 24], + "separ": [9, 10, 21], "keep_separ": 10, - "llmrerank": [11, 12], - "find_passag": [11, 12], - "make_item": [11, 12], - "make_passag": [11, 12], - "safeopenai": [11, 12], - "chat": [11, 12], - "clean_respons": [11, 12], - "create_permutation_instruct": [11, 12], - "get_post_prompt": [11, 12], - "get_prefix_prompt": [11, 12], - "max_token": [11, 12], - "num_tokens_from_messag": [11, 12], - "permutation_pipelin": [11, 12], - "receive_permut": [11, 12], - "remove_dupl": [11, 12], - "run_llm": [11, 12], - "sliding_window": [11, 12], - "decod": [11, 13], - "token": [10, 11, 12, 13, 15, 18], - "rescor": [11, 13], - "monot5rerank": [7, 11, 13], - "get_model": [11, 13], - "get_prediction_token": [11, 13], - "get_token": [11, 13], - "enct5forsequenceclassif": [11, 15], - "deparallel": [11, 15], - "forward": [11, 15], - "get_encod": [11, 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10, 12, 13, 15, 16, 18], - "rank_end": 12, - "num": 12, - "0301": 12, - "api_kei": 12, - "permut": 12, - "20": 12, - "step": 12, - "greedy_decod": [13, 14], - "duoquerydocumentbatch": [13, 14], - "doc_pair": [13, 14], - "output": [13, 14], - "querydocumentbatch": [13, 14], - "querydocumentbatchtoken": [13, 14], - "traverse_duo_query_docu": [13, 14], - "traverse_query_docu": [13, 14], - "t5batchtoken": [13, 14], - "tokenizerencodemixin": [13, 14], - "encod": [13, 14, 20], - "tokenizer_kwarg": [13, 14], - "itself": 13, - "potenti": 13, - "other": [9, 13, 19], - "metadata": [1, 9, 13, 19, 20, 24], - "take": [4, 13, 15, 19], - "non": [13, 20], - "destruct": 13, - "e": 13, - "doe": [1, 13, 15, 23], - "alter": 13, - "sort": 13, - "respect": 13, - "map": [13, 14, 15, 19], - "unspecifi": 13, - "length": [13, 14], - "principl": 13, - "could": 13, - "full": 13, - "paragraph": [4, 9, 13], - "short": 13, - "phrase": 13, - "addit": [1, 13], - "annot": 13, - "might": [5, 13], - "bm25": [0, 7, 13, 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"already_has_special_token": 15, - "prepare_for_model": 15, - "integ": 15, - "rang": [1, 15, 16, 18], - "larg": 17, - "prefix_prompt": 17, - "suffix_prompt": 17, - "write": [17, 18], - "use_bf16": 17, - "use_gpu": 17, - "shard_siz": 17, - "16": [17, 25], - "context": 17, - "cant": 18, - "import": [7, 18, 20], - "becaus": [4, 5, 18], - "circular": 18, - "db_origin_list": 18, - "check": [18, 20], - "duplic": [4, 18, 19, 20], - "target_id": 18, - "final_db_origin": 18, - "check_dict": 18, - "multi_num": 18, - "retrieve_range_mult": 18, - "max_trial": 18, - "count": 18, - "multipli": 18, - "fail": 18, - "enough": 18, - "max": 18, - "trial": 18, - "tokenizer_nam": [10, 11, 18], - "gpt2": [10, 11, 18], - "structur": [9, 18], - "look": 18, - "2d": [10, 18], - "passage_id": [18, 24], - "weight": 18, - "p": 18, - "cc": 18, - "rrf_k": 18, - "60": 18, - "arr": 18, - "ndarrai": [18, 20], - "seri": 18, - "system_prompt": [18, 20], + "llmrerank": [11, 13], + "find_passag": [11, 13], + "make_item": 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19], "disk": 1, "doesn": 1, - "It": [1, 4, 7, 9, 10, 16, 20], + "It": [1, 4, 7, 9, 10, 12, 17, 20, 21, 22], "ap": [2, 6], "baseretrievalmetr": [2, 6], "cg": [2, 6], @@ -1049,35 +1049,35 @@ Search.setIndex({ "inddcg": [2, 6], "indidcg": [2, 6], "ndcg": [2, 6], - "precis": [2, 5, 6, 18], + "precis": [2, 5, 6, 19], "recal": [2, 5, 6], "topkaccuraci": [2, 6], "histori": [], - "plu": 20, + "plu": 21, "too": 4, - "so": [4, 9, 20, 24], + "so": [4, 9, 21, 25], "clear": [], - "copi": [0, 19], + "copi": [0, 20], "remot": [], "server": 9, "chat_complet": [], - "pkl": [7, 18, 20], - "purpos": 7, + "pkl": [7, 19, 21], + "purpos": [7, 22], "style": [], "user": [], "korean": [], "af": 7, - "Then": [7, 18], + "Then": [7, 19], "q": [], - "hop": 20, + "hop": 21, "recommend": [2, 4, 9], "third": 7, "final": 7, "capit": 7, "korea": 7, "excel": 9, - "txt": [9, 20], - "pdf": [9, 18], + "txt": [9, 21], + "pdf": [9, 19], "csv": 9, "xlsx": 9, "lazili": 9, @@ -1089,56 +1089,56 @@ Search.setIndex({ "order": 9, "nougat": 9, "dockerfil": 9, - "facebookresearch": [9, 15], - "At": [9, 10, 18], + "facebookresearch": [9, 16], + "At": [9, 10, 19], "our": 10, "own": 10, - "dimens": [10, 20], + "dimens": [10, 21], "recurs": 10, "specifi": 10, "overlap_s": 10, "overlap": 10, - "hub": 13, - "devsinghsachan": 17, - "unsupervis": 17, - "languag": [4, 10, 17], - "likelihood": 17, - "represent": [2, 18, 20], - "put": [4, 18, 20], - "combin": [16, 18], - "rrf": 18, - "convex": 18, - "shot": [18, 20], - "dens": 18, - "arxiv": [18, 20], - "2212": 18, - "10496": 18, - "hypothet": 18, - "backend": 18, - "most": [10, 18, 21], - "lastli": 18, - "uniqu": 19, - "identifi": 19, - "By": 19, - "arbitrari": 19, - "next": [9, 19], - "last": 19, - "previou": 19, - "evid": 20, - "after": 20, - "automat": 20, - "sourc": [9, 20], - "few": 20, - "els": 20, - "factori": 22, - "easili": 22, - "singleton": [20, 23], - "manag": 23, - "redi": 23, - "howev": 24, - "langchian": 24, - "huge": 24, - "reduc": 24, + "hub": 14, + "devsinghsachan": 18, + "unsupervis": 18, + "languag": [4, 10, 18], + "likelihood": 18, + "represent": [2, 19, 21], + "put": [4, 19, 21], + "combin": [12, 17, 19], + "rrf": 19, + "convex": 19, + "shot": [19, 21], + "dens": 19, + "arxiv": [19, 21], + "2212": 19, + "10496": 19, + "hypothet": 19, + "backend": 19, + "most": [10, 19, 22], + "lastli": 19, + "uniqu": 20, + "identifi": 20, + "By": 20, + "arbitrari": 20, + "next": [9, 20], + "last": 20, + "previou": 20, + "evid": 21, + "after": 21, + "automat": 21, + "sourc": [9, 20, 21], + "few": 21, + "els": 21, + "factori": 23, + "easili": 23, + "singleton": [21, 24], + "manag": 24, + "redi": 24, + "howev": 25, + "langchian": 25, + "huge": 25, + "reduc": [22, 25], "check_retrieval_ev": [2, 6], "stretagyqa_k_ev": [2, 6], "qrels_relev": 6, @@ -1146,16 +1146,16 @@ Search.setIndex({ "ko_strategy_qa": [0, 2], "qasper": [0, 2], "strategy_qa": [0, 2], - "auto": [0, 26], + "auto": [0, 28], "autoevalu": [0, 2], "baseevalu": [0, 2, 4], "uuid_to_str": [0, 2], "markdown_splitt": [], "bm25rerank": [0, 11], - "evaluate_result": [0, 26], - "evaluateresult": [0, 2, 4, 19], - "each_result": [0, 19], - "use_metr": [0, 19], + "evaluate_result": [0, 28], + "evaluateresult": [0, 2, 4, 20], + "each_result": [0, 20], + "use_metr": [0, 20], "basedatasetevalu": [2, 4], "basestrategyqa": [2, 4], "convert_qa_to_pd": [2, 4], @@ -1181,15 +1181,15 @@ Search.setIndex({ "suitabl": 4, "void": 4, "rate": 6, - "predict": [3, 6, 20], - "docs_to_passag": [8, 10], + "predict": [3, 6, 21], + "docs_to_passag": [], "markdownheadersplitt": [8, 10], "headers_to_split_on": 10, "return_each_lin": 10, - "panda": 19, - "core": 19, - "frame": 19, - "datafram": 19, + "panda": 20, + "core": 20, + "frame": 20, + "datafram": 20, "completionllm": [], "rerankrunpipelin": [0, 7], "visconderunpipelin": [0, 7], @@ -1200,7 +1200,7 @@ Search.setIndex({ "token_splitt": [0, 8], "random_st": [4, 5], "Not": [], - "befor": 19, + "befor": 20, "codesplitt": [8, 10], "htmlheadersplitt": [8, 10], "tokensplitt": [8, 10], @@ -1229,7 +1229,7 @@ Search.setIndex({ "markdownheadertextsplitt": 10, "tiktoken": 10, "pretrained_model_nam": 10, - "variou": [10, 20], + "variou": [10, 21], "smaller": 10, "spaci": 10, "sentencetransform": 10, @@ -1251,7 +1251,7 @@ Search.setIndex({ "kf1": [2, 3, 4], "mrtydievalu": [2, 4], "validate_passag": [2, 4], - "valid": [2, 4, 19, 20], + "valid": [2, 4, 20, 21], "retrieval_gt": [2, 4], "answer_relev": 2, "faith": 2, @@ -1260,37 +1260,37 @@ Search.setIndex({ "f1_score": 2, "ind_dcg": 2, "ind_idcg": 2, - "knowledg": [3, 20], + "knowledg": [3, 21], "english": 4, "big": 4, "long": 4, - "time": [0, 1, 4, 11], + "time": [0, 1, 4, 9, 11], "shuffl": 4, "corpu": 4, "slice": 4, - "test": [4, 20], + "test": [4, 21], "gt": 4, "random": 4, "fix": 4, "arrai": 4, "bitgener": 4, - "np": [4, 20], + "np": [4, 21], "randomst": 4, "baseingestpipelin": [0, 7], "baserunpipelin": [0, 2, 4, 7], "default_chat_prompt": [0, 7], "get_passages_and_run": [0, 7], - "ragchainchatprompttempl": [0, 7, 19], - "input_vari": [0, 7, 19, 20], - "validate_templ": [0, 19], - "ragchainprompttempl": [0, 7, 19], - "templat": [0, 7, 19, 20], - "template_format": [0, 19], + "ragchainchatprompttempl": [0, 7, 20], + "input_vari": [0, 7, 20, 21], + "validate_templ": [0, 20], + "ragchainprompttempl": [0, 7, 20], + "templat": [0, 7, 20, 21], + "template_format": [0, 20], "mr": 4, "tydi": 4, "alwai": 4, "systemmessageprompttempl": 7, - "prompttempl": [7, 19, 20], + "prompttempl": [7, 20, 21], "know": 7, "up": 7, "sai": 7, @@ -1298,43 +1298,43 @@ Search.setIndex({ "aimessageprompttempl": 7, "rel": 7, "batch": 7, - "baselanguagemodel": [7, 18, 20], + "baselanguagemodel": [7, 19, 21], "retrieval_opt": 7, "rel_scor": 7, "lcel": 7, - "invok": 7, - "runnabl": 7, - "input_typ": 19, - "output_pars": 19, - "baseoutputpars": 19, - "partial_vari": 19, - "basemessageprompttempl": 19, - "basemessag": 19, - "basechatprompttempl": 19, - "chatprompttempl": 19, - "variabl": 19, - "messagelik": 19, - "consist": 19, - "either": 19, - "try": [19, 20, 23], - "f": 19, - "jinja2": 19, - "expect": 19, + "invok": [7, 21, 22], + "runnabl": [7, 22], + "input_typ": 20, + "output_pars": 20, + "baseoutputpars": 20, + "partial_vari": 20, + "basemessageprompttempl": 20, + "basemessag": [20, 22], + "basechatprompttempl": 20, + "chatprompttempl": 20, + "variabl": 20, + "messagelik": 20, + "consist": 20, + "either": 20, + "try": [20, 21, 24], + "f": 20, + "jinja2": 20, + "expect": 20, "beir": [0, 2], - "natural_qa": [0, 2], - "extra": [0, 2, 19], + "natural_qa": [], + "extra": [0, 2, 20], "search_detector_evalu": [0, 2], "answer_no_gt_ragas_metr": [0, 2], "retrieval_gt_ragas_metr": [0, 2], "retrieval_no_gt_ragas_metr": [0, 2], "deepdoctection_load": [0, 8], - "rede_search_detector": [0, 26], - "redesearchdetector": [0, 5, 20], - "detect": [0, 20], - "find_representation_transform": [0, 20], - "find_threshold": [0, 20], - "representation_form": [0, 20], - "train_density_estim": [0, 20], + "rede_search_detector": [0, 28], + "redesearchdetector": [0, 5, 21], + "detect": [0, 21], + "find_representation_transform": [0, 21], + "find_threshold": [0, 21], + "representation_form": [0, 21], + "train_density_estim": [0, 21], "basebeirevalu": [2, 4], "make_corpus_passag": [2, 4], "make_gt_passages_and_duplicated_id": [2, 4], @@ -1365,7 +1365,7 @@ Search.setIndex({ "scifact": 4, "natur": 4, "search_detector": 5, - "detector": [5, 20], + "detector": [5, 21], "dstc11": 5, "track5": 5, "now": 5, @@ -1379,46 +1379,46 @@ Search.setIndex({ "deepdoctection_host": 9, "deepdoctect": 9, "substr": 9, - "threshold": 20, - "rede": 20, - "seek": 20, - "turn": 20, - "infer": 20, - "dialogu": 20, - "great": [9, 20], - "below": 20, - "jin2021toward": 20, - "toward": 20, - "orient": 20, - "jin": 20, - "di": 20, - "gao": 20, - "shuyang": 20, - "kim": 20, - "seokhwan": 20, - "liu": 20, - "yang": 20, - "hakkani": 20, - "tur": 20, - "dilek": 20, - "preprint": 20, - "2109": 20, - "08820": 20, - "sentenc": 20, - "test_knowledge_seeking_sent": 20, - "test_non_knowledge_seeking_sent": 20, - "knowledge_seeking_sent": 20, - "l": 20, - "valid_knowledge_seeking_sent": 20, - "valid_non_knowledge_seeking_sent": 20, - "youden": 20, - "gmm": 20, - "gaussianmixtur": 20, - "non_knowledge_seeking_sent": 20, - "gaussian": 20, - "mixtur": 20, - "classifi": 20, - "n_compon": 20, + "threshold": 21, + "rede": 21, + "seek": 21, + "turn": 21, + "infer": 21, + "dialogu": 21, + "great": [9, 21], + "below": 21, + "jin2021toward": 21, + "toward": 21, + "orient": 21, + "jin": 21, + "di": 21, + "gao": 21, + "shuyang": 21, + "kim": 21, + "seokhwan": 21, + "liu": 21, + "yang": 21, + "hakkani": 21, + "tur": 21, + "dilek": 21, + "preprint": 21, + "2109": 21, + "08820": 21, + "sentenc": 21, + "test_knowledge_seeking_sent": 21, + "test_non_knowledge_seeking_sent": 21, + "knowledge_seeking_sent": 21, + "l": 21, + "valid_knowledge_seeking_sent": 21, + "valid_non_knowledge_seeking_sent": 21, + "youden": 21, + "gmm": 21, + "gaussianmixtur": 21, + "non_knowledge_seeking_sent": 21, + "gaussian": 21, + "mixtur": 21, + "classifi": 21, + "n_compon": 21, "antiqu": [0, 2], "nfcorpu": [0, 2], "search_qa": [0, 2], @@ -1435,7 +1435,7 @@ Search.setIndex({ "convert_hwp_to_hwpx": [8, 9], "preprocessor": [8, 9], "libhwp": 9, - "work": 9, + "work": [9, 22], "o": 9, "unfortun": 9, "distinguish": 9, @@ -1443,58 +1443,58 @@ Search.setIndex({ "page_typ": 9, "mac": 9, "linux": 9, - "extern": [9, 23], + "extern": [9, 24], "program": 9, "avail": 9, "pywin32": 9, "hwpx": 9, - "exclud": [9, 19], + "exclud": [9, 20], "complic": 9, "But": 9, - "choos": [9, 19], + "choos": [9, 20], "input_filepath": 9, "output_filepath": 9, "asqa": [0, 2], "dstc11_track5": [0, 2], "simple_tim": [0, 11], "weighted_tim": [0, 11], - "compressor": [0, 20], - "cluster_tim": [0, 20], - "dynamo_link": [0, 20], - "json_link": [0, 20], - "redis_link": [0, 20], - "semantic_clust": [0, 21, 26], - "baselink": [20, 23], - "put_json": [20, 23], - "singletoncreationerror": [20, 23], - "dynamolink": [20, 23], - "create_or_load_t": [20, 23], - "create_t": [20, 23], - "handle_error": [20, 23], - "load_tabl": [20, 23], - "jsonlink": [20, 23], - "create_json": [20, 23], - "create_or_load_json": [20, 23], - "load_json": [20, 23], - "redislink": [20, 23], - "allow_multiple_inst": 23, - "json_data": 23, - "except": 23, - "anoth": 23, - "dynamodbsingleton": 23, - "dynamodb": 23, - "table_nam": 23, - "err": 23, - "allow": 23, - "role": 23, - "plai": 23, - "dynamo": 23, - "content_datetim": [0, 1, 16, 19], - "reset_id": [0, 19], - "semanticclust": [0, 20, 21], - "cluster": [0, 20, 21], - "content_datetime_rang": [1, 18], - "datetim": [1, 18, 19], + "compressor": [0, 21], + "cluster_tim": [0, 21], + "dynamo_link": [0, 21], + "json_link": [0, 21], + "redis_link": [0, 21], + "semantic_clust": [0, 22, 28], + "baselink": [21, 24], + "put_json": [21, 24], + "singletoncreationerror": [21, 24], + "dynamolink": [21, 24], + "create_or_load_t": [21, 24], + "create_t": [21, 24], + "handle_error": [21, 24], + "load_tabl": [21, 24], + "jsonlink": [21, 24], + "create_json": [21, 24], + "create_or_load_json": [21, 24], + "load_json": [21, 24], + "redislink": [21, 24], + "allow_multiple_inst": 24, + "json_data": 24, + "except": 24, + "anoth": 24, + "dynamodbsingleton": 24, + "dynamodb": 24, + "table_nam": 24, + "err": 24, + "allow": 24, + "role": 24, + "plai": 24, + "dynamo": 24, + "content_datetim": [0, 1, 17, 20], + "reset_id": [0, 20], + "semanticclust": [0, 21, 22], + "cluster": [0, 21, 22], + "content_datetime_rang": [1, 19], + "datetim": [1, 9, 19, 20], "start_tim": 1, "end_tim": 1, "possibl": 1, @@ -1505,46 +1505,110 @@ Search.setIndex({ "dstc11track5evalu": [2, 4], "dstc": 4, "11": 4, - "simpletimererank": [11, 16], - "weightedtimererank": [11, 16], - "simpl": 16, - "awar": 16, - "rag": 16, - "decay_r": 16, - "01": 16, - "normal": 16, - "calcul": 16, - "formula": 16, - "hours_pass": 16, - "relevance_scor": 16, - "larger": 16, - "past": 16, - "low": 16, - "forbid": 19, - "edit": 19, - "everytim": 19, - "passg": 19, - "chang": 19, - "updat": 19, - "field": 19, - "preced": 19, - "over": 19, - "trust": 19, - "deep": 19, - "basecompressor": [20, 21], - "compress": [20, 21], - "clustertimecompressor": [20, 21], - "clustering_algorithm": 20, - "kmean": 20, - "semant": [20, 21], - "optim": 20, - "case": 20, - "split_by_sent": 21, - "recent": 21 + "simpletimererank": [11, 17], + "weightedtimererank": [11, 17], + "simpl": [12, 17], + "awar": [12, 17], + "rag": [12, 17], + "decay_r": 17, + "01": 17, + "normal": [12, 17], + "calcul": [12, 17, 22], + "formula": [12, 17], + "hours_pass": 17, + "relevance_scor": [12, 17], + "larger": [12, 17], + "past": 17, + "low": 17, + "forbid": 20, + "edit": 20, + "everytim": 20, + "passg": 20, + "chang": 20, + "updat": 20, + "field": 20, + "preced": 20, + "over": 20, + "trust": 20, + "deep": 20, + "basecompressor": [21, 22], + "compress": [21, 22], + "clustertimecompressor": [21, 22], + "clustering_algorithm": 21, + "kmean": 21, + "semant": [21, 22], + "optim": 21, + "case": 21, + "split_by_sent": 22, + "recent": 22, + "eli5": [0, 2], + "natural_quest": [0, 2], + "google_search": [0, 21, 28], + "googlesearchrunpipelin": [0, 7], + "rem_load": [0, 8], + "simple_import": [0, 11], + "weighted_import": [0, 11], + "from_docu": [0, 20], + "from_search": [0, 20], + "llm_lingua": [0, 21], + "websearch": [0, 21], + "bing_search": [0, 21], + "brave_search": [0, 21], + "eli5evalu": [2, 4], + "langchain_commun": 7, + "use_search_count": 7, + "remload": [8, 9], + "time_rang": 9, + "rem": 9, + "storag": 9, + "sqlite": 9, + "simpleimportancererank": [11, 12], + "weightedimportancererank": [11, 12], + "importance_weight": 12, + "requir": 20, + "metadat": 20, + "y": 20, + "m": 20, + "h": 20, + "search_result": 20, + "snippet": 20, + "higher": 20, + "minu": 20, + "llmlinguacompressor": [21, 22], + "inputtyp": [21, 22], + "basewebsearch": [21, 26], + "get_search_data": [21, 26], + "googlesearch": [21, 26], + "nousresearch": 22, + "llama": 22, + "7b": 22, + "hf": 22, + "model_config": 22, + "open_api_config": 22, + "promptvalu": 22, + "llmlingua": 22, + "small": 22, + "perplex": 22, + "runnableconfig": 22, + "overrid": 22, + "standard": 22, + "tag": 22, + "trace": 22, + "max_concurr": 22, + "control": 22, + "much": 22, + "refer": 22, + "detail": 22, + "web": 26, + "engin": 26, + "num_result": 26, + "search_param": 26, + "googlesearchapiwrapp": 26, + "wrap": 26 }, "objects": { "": [[0, 0, 0, "-", "RAGchain"]], - "RAGchain": [[1, 0, 0, "-", "DB"], [2, 0, 0, "-", "benchmark"], [7, 0, 0, "-", "pipeline"], [8, 0, 0, "-", "preprocess"], [11, 0, 0, "-", "reranker"], [18, 0, 0, "-", "retrieval"], [19, 0, 0, "-", "schema"], [20, 0, 0, "-", "utils"]], + "RAGchain": [[1, 0, 0, "-", "DB"], [2, 0, 0, "-", "benchmark"], [7, 0, 0, "-", "pipeline"], [8, 0, 0, "-", "preprocess"], [11, 0, 0, "-", "reranker"], [19, 0, 0, "-", "retrieval"], [20, 0, 0, "-", "schema"], [21, 0, 0, "-", "utils"]], "RAGchain.DB": [[1, 0, 0, "-", "base"], [1, 0, 0, "-", "mongo_db"], [1, 0, 0, "-", "pickle_db"]], "RAGchain.DB.base": [[1, 1, 1, "", "BaseDB"]], "RAGchain.DB.base.BaseDB": [[1, 2, 1, "", "create"], [1, 2, 1, "", "create_or_load"], [1, 3, 1, "", "db_type"], [1, 2, 1, "", "fetch"], [1, 2, 1, "", "get_db_origin"], [1, 2, 1, "", "load"], [1, 2, 1, "", "save"], [1, 2, 1, "", "search"]], @@ -1566,7 +1630,7 @@ Search.setIndex({ "RAGchain.benchmark.base": [[2, 1, 1, "", "BaseEvaluator"], [2, 1, 1, "", "DummyRetrieval"]], "RAGchain.benchmark.base.BaseEvaluator": [[2, 4, 1, "", "answer_gt_metrics"], [2, 4, 1, "", "answer_no_gt_ragas_metrics"], [2, 4, 1, "", "answer_passage_metrics"], [2, 2, 1, "", "evaluate"], [2, 4, 1, "", "retrieval_gt_metrics"], [2, 4, 1, "", "retrieval_gt_metrics_rank_aware"], [2, 4, 1, "", "retrieval_gt_ragas_metrics"], [2, 4, 1, "", "retrieval_no_gt_ragas_metrics"], [2, 2, 1, "", "uuid_to_str"]], "RAGchain.benchmark.base.DummyRetrieval": [[2, 2, 1, "", "delete"], [2, 2, 1, "", "ingest"], [2, 2, 1, "", "retrieve"], [2, 2, 1, "", "retrieve_id"], [2, 2, 1, "", "retrieve_id_with_scores"]], - "RAGchain.benchmark.dataset": [[4, 0, 0, "-", "antique"], [4, 0, 0, "-", "asqa"], [4, 0, 0, "-", "base"], [4, 0, 0, "-", "beir"], [4, 0, 0, "-", "dstc11_track5"], [4, 0, 0, "-", "ko_strategy_qa"], [4, 0, 0, "-", "mr_tydi"], [4, 0, 0, "-", "msmarco"], [4, 0, 0, "-", "natural_qa"], [4, 0, 0, "-", "nfcorpus"], [4, 0, 0, "-", "qasper"], [4, 0, 0, "-", "search_qa"], [4, 0, 0, "-", "strategy_qa"], [4, 0, 0, "-", "triviaqa"]], + "RAGchain.benchmark.dataset": [[4, 0, 0, "-", "antique"], [4, 0, 0, "-", "asqa"], [4, 0, 0, "-", "base"], [4, 0, 0, "-", "beir"], [4, 0, 0, "-", "dstc11_track5"], [4, 0, 0, "-", "eli5"], [4, 0, 0, "-", "ko_strategy_qa"], [4, 0, 0, "-", "mr_tydi"], [4, 0, 0, "-", "msmarco"], [4, 0, 0, "-", "natural_question"], [4, 0, 0, "-", "nfcorpus"], [4, 0, 0, "-", "qasper"], [4, 0, 0, "-", "search_qa"], [4, 0, 0, "-", "strategy_qa"], [4, 0, 0, "-", "triviaqa"]], "RAGchain.benchmark.dataset.antique": [[4, 1, 1, "", "AntiqueEvaluator"]], "RAGchain.benchmark.dataset.antique.AntiqueEvaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], "RAGchain.benchmark.dataset.asqa": [[4, 1, 1, "", "ASQAEvaluator"]], @@ -1578,14 +1642,16 @@ Search.setIndex({ "RAGchain.benchmark.dataset.beir": [[4, 1, 1, "", "BeirFEVEREvaluator"], [4, 1, 1, "", "BeirFIQAEvaluator"], [4, 1, 1, "", "BeirHOTPOTQAEvaluator"], [4, 1, 1, "", "BeirQUORAEvaluator"], [4, 1, 1, "", "BeirSCIDOCSEvaluator"], [4, 1, 1, "", "BeirSCIFACTEvaluator"]], "RAGchain.benchmark.dataset.dstc11_track5": [[4, 1, 1, "", "DSTC11Track5Evaluator"]], "RAGchain.benchmark.dataset.dstc11_track5.DSTC11Track5Evaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], + "RAGchain.benchmark.dataset.eli5": [[4, 1, 1, "", "Eli5Evaluator"]], + "RAGchain.benchmark.dataset.eli5.Eli5Evaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], "RAGchain.benchmark.dataset.ko_strategy_qa": [[4, 1, 1, "", "KoStrategyQAEvaluator"]], "RAGchain.benchmark.dataset.ko_strategy_qa.KoStrategyQAEvaluator": [[4, 4, 1, "", "dataset_name"], [4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], "RAGchain.benchmark.dataset.mr_tydi": [[4, 1, 1, "", "MrTydiEvaluator"]], "RAGchain.benchmark.dataset.mr_tydi.MrTydiEvaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], "RAGchain.benchmark.dataset.msmarco": [[4, 1, 1, "", "MSMARCOEvaluator"]], "RAGchain.benchmark.dataset.msmarco.MSMARCOEvaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], - "RAGchain.benchmark.dataset.natural_qa": [[4, 1, 1, "", "NaturalQAEvaluator"]], - "RAGchain.benchmark.dataset.natural_qa.NaturalQAEvaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], + "RAGchain.benchmark.dataset.natural_question": [[4, 1, 1, "", "NaturalQAEvaluator"]], + "RAGchain.benchmark.dataset.natural_question.NaturalQAEvaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], "RAGchain.benchmark.dataset.nfcorpus": [[4, 1, 1, "", "NFCorpusEvaluator"]], "RAGchain.benchmark.dataset.nfcorpus.NFCorpusEvaluator": [[4, 2, 1, "", "evaluate"], [4, 2, 1, "", "ingest"]], "RAGchain.benchmark.dataset.qasper": [[4, 1, 1, "", "QasperEvaluator"]], @@ -1617,19 +1683,21 @@ Search.setIndex({ "RAGchain.benchmark.retrieval.metrics.RR": [[6, 2, 1, "", "retrieval_metric_function"]], "RAGchain.benchmark.retrieval.metrics.Recall": [[6, 2, 1, "", "retrieval_metric_function"]], "RAGchain.benchmark.retrieval.metrics.TopKAccuracy": [[6, 2, 1, "", "retrieval_metric_function"]], - "RAGchain.pipeline": [[7, 0, 0, "-", "base"], [7, 0, 0, "-", "basic"], [7, 0, 0, "-", "rerank"], [7, 0, 0, "-", "visconde"]], + "RAGchain.pipeline": [[7, 0, 0, "-", "base"], [7, 0, 0, "-", "basic"], [7, 0, 0, "-", "google_search"], [7, 0, 0, "-", "rerank"], [7, 0, 0, "-", "visconde"]], "RAGchain.pipeline.base": [[7, 1, 1, "", "BaseIngestPipeline"], [7, 1, 1, "", "BaseRunPipeline"]], "RAGchain.pipeline.base.BaseIngestPipeline": [[7, 2, 1, "", "run"]], "RAGchain.pipeline.base.BaseRunPipeline": [[7, 4, 1, "", "default_chat_prompt"], [7, 4, 1, "", "default_prompt"], [7, 2, 1, "", "get_passages_and_run"]], "RAGchain.pipeline.basic": [[7, 1, 1, "", "BasicIngestPipeline"], [7, 1, 1, "", "BasicRunPipeline"]], "RAGchain.pipeline.basic.BasicIngestPipeline": [[7, 2, 1, "", "run"]], "RAGchain.pipeline.basic.BasicRunPipeline": [[7, 2, 1, "", "get_passages_and_run"], [7, 4, 1, "", "run"]], + "RAGchain.pipeline.google_search": [[7, 1, 1, "", "GoogleSearchRunPipeline"]], + "RAGchain.pipeline.google_search.GoogleSearchRunPipeline": [[7, 2, 1, "", "get_passages_and_run"], [7, 4, 1, "", "run"]], "RAGchain.pipeline.rerank": [[7, 1, 1, "", "RerankRunPipeline"]], "RAGchain.pipeline.rerank.RerankRunPipeline": [[7, 2, 1, "", "get_passages_and_run"], [7, 4, 1, "", "run"]], "RAGchain.pipeline.visconde": [[7, 1, 1, "", "ViscondeRunPipeline"]], "RAGchain.pipeline.visconde.ViscondeRunPipeline": [[7, 2, 1, "", "get_passages_and_run"], [7, 4, 1, "", "run"], [7, 4, 1, "", "strategyqa_prompt"]], "RAGchain.preprocess": [[9, 0, 0, "-", "loader"], [10, 0, 0, "-", "text_splitter"]], - "RAGchain.preprocess.loader": [[9, 0, 0, "-", "dataset_loader"], [9, 0, 0, "-", "deepdoctection_loader"], [9, 0, 0, "-", "excel_loader"], [9, 0, 0, "-", "file_loader"], [9, 0, 0, "-", "hwp_loader"], [9, 0, 0, "-", "mathpix_markdown_loader"], [9, 0, 0, "-", "nougat_pdf_loader"], [9, 0, 0, "-", "pdf_link_loader"], [9, 0, 0, "-", "rust_hwp_loader"], [9, 0, 0, "-", "win32_hwp_loader"]], + "RAGchain.preprocess.loader": [[9, 0, 0, "-", "dataset_loader"], [9, 0, 0, "-", "deepdoctection_loader"], [9, 0, 0, "-", "excel_loader"], [9, 0, 0, "-", "file_loader"], [9, 0, 0, "-", "hwp_loader"], [9, 0, 0, "-", "mathpix_markdown_loader"], [9, 0, 0, "-", "nougat_pdf_loader"], [9, 0, 0, "-", "pdf_link_loader"], [9, 0, 0, "-", "rem_loader"], [9, 0, 0, "-", "rust_hwp_loader"], [9, 0, 0, "-", "win32_hwp_loader"]], "RAGchain.preprocess.loader.dataset_loader": [[9, 1, 1, "", "KoStrategyQALoader"]], "RAGchain.preprocess.loader.dataset_loader.KoStrategyQALoader": [[9, 2, 1, "", "load"]], "RAGchain.preprocess.loader.deepdoctection_loader": [[9, 1, 1, "", "DeepdoctectionPDFLoader"]], @@ -1646,13 +1714,15 @@ Search.setIndex({ "RAGchain.preprocess.loader.nougat_pdf_loader.NougatPDFLoader": [[9, 2, 1, "", "lazy_load"], [9, 2, 1, "", "load"]], "RAGchain.preprocess.loader.pdf_link_loader": [[9, 1, 1, "", "PdfLinkLoader"]], "RAGchain.preprocess.loader.pdf_link_loader.PdfLinkLoader": [[9, 2, 1, "", "load"], [9, 2, 1, "", "valid_url"]], + "RAGchain.preprocess.loader.rem_loader": [[9, 1, 1, "", "RemLoader"]], + "RAGchain.preprocess.loader.rem_loader.RemLoader": [[9, 2, 1, "", "lazy_load"], [9, 2, 1, "", "load"]], "RAGchain.preprocess.loader.rust_hwp_loader": [[9, 1, 1, "", "RustHwpLoader"]], "RAGchain.preprocess.loader.rust_hwp_loader.RustHwpLoader": [[9, 2, 1, "", "lazy_load"], [9, 2, 1, "", "load"]], "RAGchain.preprocess.loader.win32_hwp_loader": [[9, 1, 1, "", "Win32HwpLoader"]], "RAGchain.preprocess.loader.win32_hwp_loader.Win32HwpLoader": [[9, 2, 1, "", "convert_hwp_to_hwpx"], [9, 2, 1, "", "lazy_load"], [9, 2, 1, "", "load"], [9, 2, 1, "", "preprocessor"]], "RAGchain.preprocess.text_splitter": [[10, 0, 0, "-", "base"], [10, 0, 0, "-", "code_splitter"], [10, 0, 0, "-", "html_header_splitter"], [10, 0, 0, "-", "markdown_header_splitter"], [10, 0, 0, "-", "text_splitter"], [10, 0, 0, "-", "token_splitter"]], "RAGchain.preprocess.text_splitter.base": [[10, 1, 1, "", "BaseTextSplitter"]], - "RAGchain.preprocess.text_splitter.base.BaseTextSplitter": [[10, 2, 1, "", "docs_to_passages"], [10, 2, 1, "", "split_document"], [10, 2, 1, "", "split_documents"]], + "RAGchain.preprocess.text_splitter.base.BaseTextSplitter": [[10, 2, 1, "", "split_document"], [10, 2, 1, "", "split_documents"]], "RAGchain.preprocess.text_splitter.code_splitter": [[10, 1, 1, "", "CodeSplitter"]], "RAGchain.preprocess.text_splitter.code_splitter.CodeSplitter": [[10, 2, 1, "", "split_document"]], "RAGchain.preprocess.text_splitter.html_header_splitter": [[10, 1, 1, "", "HTMLHeaderSplitter"]], @@ -1663,105 +1733,117 @@ Search.setIndex({ "RAGchain.preprocess.text_splitter.text_splitter.RecursiveTextSplitter": [[10, 2, 1, "", "split_document"]], "RAGchain.preprocess.text_splitter.token_splitter": [[10, 1, 1, "", "TokenSplitter"]], "RAGchain.preprocess.text_splitter.token_splitter.TokenSplitter": [[10, 2, 1, "", "split_document"]], - "RAGchain.reranker": [[11, 0, 0, "-", "base"], [11, 0, 0, "-", "bm25"], [12, 0, 0, "-", "llm"], [13, 0, 0, "-", "pygaggle"], [15, 0, 0, "-", "tart"], [16, 0, 0, "-", "time"], [17, 0, 0, "-", "upr"]], + "RAGchain.reranker": [[11, 0, 0, "-", "base"], [11, 0, 0, "-", "bm25"], [12, 0, 0, "-", "importance"], [13, 0, 0, "-", "llm"], [14, 0, 0, "-", "pygaggle"], [16, 0, 0, "-", 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"RAGchain.utils.websearch.google_search": [[26, 1, 1, "", "GoogleSearch"]], + "RAGchain.utils.websearch.google_search.GoogleSearch": [[26, 2, 1, "", "get_search_data"]] }, "objtypes": { "0": "py:module", @@ -1783,23 +1865,23 @@ Search.setIndex({ }, "titleterms": { "koprivategpt": [], - "packag": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], - "subpackag": [0, 2, 8, 11, 13, 20], - "modul": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], - "content": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], + "packag": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], + "subpackag": [0, 2, 8, 11, 14, 21], + "modul": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], + "content": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], "db": 1, - "submodul": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], - "base": [1, 2, 4, 7, 10, 11, 13, 18, 21, 23, 24], + "submodul": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], + "base": [1, 2, 4, 7, 10, 11, 14, 19, 22, 24, 25, 26], "mongo_db": 1, "pickle_db": 1, "benchmark": [2, 3, 4, 5, 6], - "util": [20, 21, 22, 23, 24], - "retriev": [6, 18], + "util": [21, 22, 23, 24, 25, 26], + "retriev": [6, 19], "main": [], "metric": [3, 6], - "llm": 12, + "llm": 13, "basic": 7, - "rerank": [7, 11, 12, 13, 14, 15, 16, 17], + "rerank": [7, 11, 12, 13, 14, 15, 16, 17, 18], "viscond": 7, "pipelin": 7, "selector": [], @@ -1813,43 +1895,43 @@ Search.setIndex({ "nougat_pdf_load": 9, "pdf_link_load": 9, "text_splitt": 10, - "rank_gpt": 12, - "pygaggl": [13, 14], - "paramet": 13, - "return": 13, - "monot5": 13, - "transform": 13, - "model": 14, - "decod": 14, - "token": 14, - "tart": 15, - 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2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26], + "vectorstor": 25, + "chroma": 25, + "pinecon": 25, + "welcom": 27, + "": 27, + "document": 27, + "indic": 27, + "tabl": 27, + "ragchain": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28], "evalu": 6, "auto": 2, "dataset": 4, @@ -1858,7 +1940,7 @@ Search.setIndex({ "strategy_qa": 4, "markdown_splitt": [], "bm25": 11, - "evaluate_result": 19, + "evaluate_result": 20, "complet": [], "code_splitt": 10, "html_header_splitt": 10, @@ -1867,13 +1949,13 @@ Search.setIndex({ "answer": 3, "msmarco": 4, "mr_tydi": 4, - "prompt": 19, + "prompt": 20, "beir": 4, - "natural_qa": 4, + "natural_qa": [], "extra": 5, "search_detector_evalu": 5, "deepdoctection_load": 9, - "rede_search_detector": 20, + "rede_search_detector": 21, "antiqu": 4, "nfcorpu": 4, "search_qa": 4, @@ -1882,15 +1964,26 @@ Search.setIndex({ "win32_hwp_load": 9, "asqa": 4, 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"module-RAGchain.benchmark.extra.search_detector_evaluator"]], "RAGchain.benchmark.retrieval package": [[6, "ragchain-benchmark-retrieval-package"]], "RAGchain.benchmark.retrieval.evaluator module": [[6, "module-RAGchain.benchmark.retrieval.evaluator"]], "RAGchain.benchmark.retrieval.metrics module": [[6, "module-RAGchain.benchmark.retrieval.metrics"]], - "RAGchain.utils.embed package": [[22, "ragchain-utils-embed-package"]], - "RAGchain.utils.embed.embeddingfactory module": [[22, "module-RAGchain.utils.embed.embeddingfactory"]], - "RAGchain.utils.linker package": [[23, "ragchain-utils-linker-package"]], - "RAGchain.utils.linker.base module": [[23, "module-RAGchain.utils.linker.base"]], - "RAGchain.utils.linker.dynamo_linker module": [[23, "module-RAGchain.utils.linker.dynamo_linker"]], - "RAGchain.utils.linker.json_linker module": [[23, "module-RAGchain.utils.linker.json_linker"]], - "RAGchain.utils.linker.redis_linker module": [[23, "module-RAGchain.utils.linker.redis_linker"]], + "RAGchain.utils.embed package": [[23, "ragchain-utils-embed-package"]], + "RAGchain.utils.embed.embeddingfactory module": [[23, "module-RAGchain.utils.embed.embeddingfactory"]], + "RAGchain.utils.linker package": [[24, "ragchain-utils-linker-package"]], + "RAGchain.utils.linker.base module": [[24, "module-RAGchain.utils.linker.base"]], + "RAGchain.utils.linker.dynamo_linker module": [[24, "module-RAGchain.utils.linker.dynamo_linker"]], + "RAGchain.utils.linker.json_linker module": [[24, "module-RAGchain.utils.linker.json_linker"]], + "RAGchain.utils.linker.redis_linker module": [[24, "module-RAGchain.utils.linker.redis_linker"]], + "RAGchain.benchmark.answer package": [[3, "ragchain-benchmark-answer-package"]], + "RAGchain.benchmark.answer.metrics module": [[3, "module-RAGchain.benchmark.answer.metrics"]], "RAGchain package": [[0, "ragchain-package"]], "RAGchain.DB package": [[1, "ragchain-db-package"]], "RAGchain.DB.base module": [[1, "module-RAGchain.DB.base"]], @@ -1934,18 +2029,17 @@ Search.setIndex({ "RAGchain.benchmark package": [[2, "ragchain-benchmark-package"]], "RAGchain.benchmark.auto module": [[2, "module-RAGchain.benchmark.auto"]], "RAGchain.benchmark.base module": [[2, "module-RAGchain.benchmark.base"]], - "RAGchain.benchmark.answer package": [[3, "ragchain-benchmark-answer-package"]], - "RAGchain.benchmark.answer.metrics module": [[3, "module-RAGchain.benchmark.answer.metrics"]], "RAGchain.benchmark.dataset package": [[4, "ragchain-benchmark-dataset-package"]], "RAGchain.benchmark.dataset.antique module": [[4, "module-RAGchain.benchmark.dataset.antique"]], "RAGchain.benchmark.dataset.asqa module": [[4, "module-RAGchain.benchmark.dataset.asqa"]], "RAGchain.benchmark.dataset.base module": [[4, "module-RAGchain.benchmark.dataset.base"]], "RAGchain.benchmark.dataset.beir module": [[4, "module-RAGchain.benchmark.dataset.beir"]], "RAGchain.benchmark.dataset.dstc11_track5 module": [[4, "module-RAGchain.benchmark.dataset.dstc11_track5"]], + "RAGchain.benchmark.dataset.eli5 module": [[4, "module-RAGchain.benchmark.dataset.eli5"]], "RAGchain.benchmark.dataset.ko_strategy_qa module": [[4, "module-RAGchain.benchmark.dataset.ko_strategy_qa"]], "RAGchain.benchmark.dataset.mr_tydi module": [[4, "module-RAGchain.benchmark.dataset.mr_tydi"]], "RAGchain.benchmark.dataset.msmarco module": [[4, "module-RAGchain.benchmark.dataset.msmarco"]], - "RAGchain.benchmark.dataset.natural_qa module": [[4, "module-RAGchain.benchmark.dataset.natural_qa"]], + "RAGchain.benchmark.dataset.natural_question module": [[4, "module-RAGchain.benchmark.dataset.natural_question"]], "RAGchain.benchmark.dataset.nfcorpus module": [[4, "module-RAGchain.benchmark.dataset.nfcorpus"]], "RAGchain.benchmark.dataset.qasper module": [[4, "module-RAGchain.benchmark.dataset.qasper"]], "RAGchain.benchmark.dataset.search_qa module": [[4, "module-RAGchain.benchmark.dataset.search_qa"]], @@ -1954,6 +2048,7 @@ Search.setIndex({ "RAGchain.pipeline package": [[7, "ragchain-pipeline-package"]], "RAGchain.pipeline.base module": [[7, "module-RAGchain.pipeline.base"]], "RAGchain.pipeline.basic module": [[7, "module-RAGchain.pipeline.basic"]], + "RAGchain.pipeline.google_search module": [[7, "module-RAGchain.pipeline.google_search"]], "RAGchain.pipeline.rerank module": [[7, "module-RAGchain.pipeline.rerank"]], "RAGchain.pipeline.visconde module": [[7, "module-RAGchain.pipeline.visconde"]], "RAGchain.preprocess.loader package": [[9, "ragchain-preprocess-loader-package"]], @@ -1965,6 +2060,7 @@ Search.setIndex({ "RAGchain.preprocess.loader.mathpix_markdown_loader module": [[9, "module-RAGchain.preprocess.loader.mathpix_markdown_loader"]], "RAGchain.preprocess.loader.nougat_pdf_loader module": [[9, "module-RAGchain.preprocess.loader.nougat_pdf_loader"]], "RAGchain.preprocess.loader.pdf_link_loader module": [[9, "module-RAGchain.preprocess.loader.pdf_link_loader"]], + "RAGchain.preprocess.loader.rem_loader module": [[9, "module-RAGchain.preprocess.loader.rem_loader"]], "RAGchain.preprocess.loader.rust_hwp_loader module": [[9, "module-RAGchain.preprocess.loader.rust_hwp_loader"]], "RAGchain.preprocess.loader.win32_hwp_loader module": [[9, "module-RAGchain.preprocess.loader.win32_hwp_loader"]], "RAGchain.preprocess.text_splitter package": [[10, "ragchain-preprocess-text-splitter-package"]], @@ -1977,55 +2073,64 @@ Search.setIndex({ "RAGchain.reranker package": [[11, "ragchain-reranker-package"]], "RAGchain.reranker.base module": [[11, "module-RAGchain.reranker.base"]], "RAGchain.reranker.bm25 module": [[11, "module-RAGchain.reranker.bm25"]], - "RAGchain.reranker.llm package": [[12, "ragchain-reranker-llm-package"]], - "RAGchain.reranker.llm.llm module": [[12, "module-RAGchain.reranker.llm.llm"]], - "RAGchain.reranker.llm.rank_gpt module": [[12, "module-RAGchain.reranker.llm.rank_gpt"]], - "RAGchain.reranker.pygaggle package": [[13, "ragchain-reranker-pygaggle-package"]], - "RAGchain.reranker.pygaggle.base module": [[13, "module-RAGchain.reranker.pygaggle.base"]], - "Parameters": [[13, "parameters"], [13, "id1"], [13, "id2"], [13, "id3"]], - "Returns": [[13, "returns"], [13, "id4"]], - "RAGchain.reranker.pygaggle.monoT5 module": [[13, "module-RAGchain.reranker.pygaggle.monoT5"]], - "RAGchain.reranker.pygaggle.transformer module": [[13, "module-RAGchain.reranker.pygaggle.transformer"]], - "RAGchain.reranker.tart package": [[15, "ragchain-reranker-tart-package"]], - "RAGchain.reranker.tart.modeling_enc_t5 module": [[15, "module-RAGchain.reranker.tart.modeling_enc_t5"]], - "RAGchain.reranker.tart.tart module": [[15, "module-RAGchain.reranker.tart.tart"]], - "RAGchain.reranker.tart.tokenization_enc_t5 module": [[15, "module-RAGchain.reranker.tart.tokenization_enc_t5"]], - "RAGchain.reranker.time package": [[16, "ragchain-reranker-time-package"]], - "RAGchain.reranker.time.simple_time module": [[16, "module-RAGchain.reranker.time.simple_time"]], - 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"module-RAGchain.benchmark.answer.metrics"], [4, "module-RAGchain.benchmark.dataset"], [4, "module-RAGchain.benchmark.dataset.antique"], [4, "module-RAGchain.benchmark.dataset.asqa"], [4, "module-RAGchain.benchmark.dataset.base"], [4, "module-RAGchain.benchmark.dataset.beir"], [4, "module-RAGchain.benchmark.dataset.dstc11_track5"], [4, "module-RAGchain.benchmark.dataset.ko_strategy_qa"], [4, "module-RAGchain.benchmark.dataset.mr_tydi"], [4, "module-RAGchain.benchmark.dataset.msmarco"], [4, "module-RAGchain.benchmark.dataset.natural_qa"], [4, "module-RAGchain.benchmark.dataset.nfcorpus"], [4, "module-RAGchain.benchmark.dataset.qasper"], [4, "module-RAGchain.benchmark.dataset.search_qa"], [4, "module-RAGchain.benchmark.dataset.strategy_qa"], [4, "module-RAGchain.benchmark.dataset.triviaqa"], [7, "module-RAGchain.pipeline"], [7, "module-RAGchain.pipeline.base"], [7, "module-RAGchain.pipeline.basic"], [7, "module-RAGchain.pipeline.rerank"], [7, "module-RAGchain.pipeline.visconde"], [8, 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"module-RAGchain.preprocess.text_splitter.text_splitter"], [10, "module-RAGchain.preprocess.text_splitter.token_splitter"], [11, "module-RAGchain.reranker"], [11, "module-RAGchain.reranker.base"], [11, "module-RAGchain.reranker.bm25"], [12, "module-RAGchain.reranker.llm"], [12, "module-RAGchain.reranker.llm.llm"], [12, "module-RAGchain.reranker.llm.rank_gpt"], [13, "module-RAGchain.reranker.pygaggle"], [13, "module-RAGchain.reranker.pygaggle.base"], [13, "module-RAGchain.reranker.pygaggle.monoT5"], [13, "module-RAGchain.reranker.pygaggle.transformer"], [15, "module-RAGchain.reranker.tart"], [15, "module-RAGchain.reranker.tart.modeling_enc_t5"], [15, "module-RAGchain.reranker.tart.tart"], [15, "module-RAGchain.reranker.tart.tokenization_enc_t5"], [16, "module-RAGchain.reranker.time"], [16, "module-RAGchain.reranker.time.simple_time"], [16, "module-RAGchain.reranker.time.weighted_time"], [17, "module-RAGchain.reranker.upr"], [17, "module-RAGchain.reranker.upr.upr"], [18, "module-RAGchain.retrieval"], [18, "module-RAGchain.retrieval.base"], [18, "module-RAGchain.retrieval.bm25_retrieval"], [18, "module-RAGchain.retrieval.hybrid"], [18, "module-RAGchain.retrieval.hyde"], [18, "module-RAGchain.retrieval.vectordb_retrieval"], [19, "module-RAGchain.schema"], [19, "module-RAGchain.schema.db_origin"], [19, "module-RAGchain.schema.evaluate_result"], [19, "module-RAGchain.schema.passage"], [19, "module-RAGchain.schema.prompt"], [20, "module-RAGchain.utils"], [20, "module-RAGchain.utils.evidence_extractor"], [20, "module-RAGchain.utils.file_cache"], [20, "module-RAGchain.utils.query_decompose"], [20, "module-RAGchain.utils.rede_search_detector"], [20, "module-RAGchain.utils.semantic_clustering"], [20, "module-RAGchain.utils.util"], [21, "module-RAGchain.utils.compressor"], [21, "module-RAGchain.utils.compressor.base"], [21, "module-RAGchain.utils.compressor.cluster_time"], [24, "module-RAGchain.utils.vectorstore"], [24, "module-RAGchain.utils.vectorstore.base"], [24, "module-RAGchain.utils.vectorstore.chroma"], [24, "module-RAGchain.utils.vectorstore.pinecone"]], + "module": [[0, "module-RAGchain"], [1, "module-RAGchain.DB"], [1, "module-RAGchain.DB.base"], [1, "module-RAGchain.DB.mongo_db"], [1, "module-RAGchain.DB.pickle_db"], [2, "module-RAGchain.benchmark"], [2, "module-RAGchain.benchmark.auto"], [2, "module-RAGchain.benchmark.base"], [4, "module-RAGchain.benchmark.dataset"], [4, "module-RAGchain.benchmark.dataset.antique"], [4, "module-RAGchain.benchmark.dataset.asqa"], [4, "module-RAGchain.benchmark.dataset.base"], [4, "module-RAGchain.benchmark.dataset.beir"], [4, "module-RAGchain.benchmark.dataset.dstc11_track5"], [4, "module-RAGchain.benchmark.dataset.eli5"], [4, "module-RAGchain.benchmark.dataset.ko_strategy_qa"], [4, "module-RAGchain.benchmark.dataset.mr_tydi"], [4, "module-RAGchain.benchmark.dataset.msmarco"], [4, "module-RAGchain.benchmark.dataset.natural_question"], [4, "module-RAGchain.benchmark.dataset.nfcorpus"], [4, "module-RAGchain.benchmark.dataset.qasper"], [4, "module-RAGchain.benchmark.dataset.search_qa"], [4, "module-RAGchain.benchmark.dataset.strategy_qa"], [4, "module-RAGchain.benchmark.dataset.triviaqa"], [7, "module-RAGchain.pipeline"], [7, "module-RAGchain.pipeline.base"], [7, "module-RAGchain.pipeline.basic"], [7, "module-RAGchain.pipeline.google_search"], [7, "module-RAGchain.pipeline.rerank"], [7, "module-RAGchain.pipeline.visconde"], [8, "module-RAGchain.preprocess"], [9, "module-RAGchain.preprocess.loader"], [9, "module-RAGchain.preprocess.loader.dataset_loader"], [9, "module-RAGchain.preprocess.loader.deepdoctection_loader"], [9, "module-RAGchain.preprocess.loader.excel_loader"], [9, "module-RAGchain.preprocess.loader.file_loader"], [9, "module-RAGchain.preprocess.loader.hwp_loader"], [9, "module-RAGchain.preprocess.loader.mathpix_markdown_loader"], [9, "module-RAGchain.preprocess.loader.nougat_pdf_loader"], [9, "module-RAGchain.preprocess.loader.pdf_link_loader"], [9, "module-RAGchain.preprocess.loader.rem_loader"], [9, "module-RAGchain.preprocess.loader.rust_hwp_loader"], [9, "module-RAGchain.preprocess.loader.win32_hwp_loader"], [10, "module-RAGchain.preprocess.text_splitter"], [10, "module-RAGchain.preprocess.text_splitter.base"], [10, "module-RAGchain.preprocess.text_splitter.code_splitter"], [10, "module-RAGchain.preprocess.text_splitter.html_header_splitter"], [10, "module-RAGchain.preprocess.text_splitter.markdown_header_splitter"], [10, "module-RAGchain.preprocess.text_splitter.text_splitter"], [10, "module-RAGchain.preprocess.text_splitter.token_splitter"], [11, "module-RAGchain.reranker"], [11, "module-RAGchain.reranker.base"], [11, "module-RAGchain.reranker.bm25"], [12, "module-RAGchain.reranker.importance"], [12, "module-RAGchain.reranker.importance.simple_importance"], [12, "module-RAGchain.reranker.importance.weighted_importance"], [13, "module-RAGchain.reranker.llm"], [13, "module-RAGchain.reranker.llm.llm"], [13, "module-RAGchain.reranker.llm.rank_gpt"], [14, "module-RAGchain.reranker.pygaggle"], [14, "module-RAGchain.reranker.pygaggle.base"], [14, "module-RAGchain.reranker.pygaggle.monoT5"], [14, "module-RAGchain.reranker.pygaggle.transformer"], [16, "module-RAGchain.reranker.tart"], [16, "module-RAGchain.reranker.tart.modeling_enc_t5"], [16, "module-RAGchain.reranker.tart.tart"], [16, "module-RAGchain.reranker.tart.tokenization_enc_t5"], [17, "module-RAGchain.reranker.time"], [17, "module-RAGchain.reranker.time.simple_time"], [17, "module-RAGchain.reranker.time.weighted_time"], [18, "module-RAGchain.reranker.upr"], [18, "module-RAGchain.reranker.upr.upr"], [19, "module-RAGchain.retrieval"], [19, "module-RAGchain.retrieval.base"], [19, "module-RAGchain.retrieval.bm25_retrieval"], [19, "module-RAGchain.retrieval.hybrid"], [19, "module-RAGchain.retrieval.hyde"], [19, "module-RAGchain.retrieval.vectordb_retrieval"], [20, "module-RAGchain.schema"], [20, "module-RAGchain.schema.db_origin"], [20, "module-RAGchain.schema.evaluate_result"], [20, "module-RAGchain.schema.passage"], [20, "module-RAGchain.schema.prompt"], [21, "module-RAGchain.utils"], [21, "module-RAGchain.utils.evidence_extractor"], [21, "module-RAGchain.utils.file_cache"], [21, "module-RAGchain.utils.query_decompose"], [21, "module-RAGchain.utils.rede_search_detector"], [21, "module-RAGchain.utils.semantic_clustering"], [21, "module-RAGchain.utils.util"], [22, "module-RAGchain.utils.compressor"], [22, "module-RAGchain.utils.compressor.base"], [22, "module-RAGchain.utils.compressor.cluster_time"], [22, "module-RAGchain.utils.compressor.llm_lingua"], [25, "module-RAGchain.utils.vectorstore"], [25, "module-RAGchain.utils.vectorstore.base"], [25, "module-RAGchain.utils.vectorstore.chroma"], [25, "module-RAGchain.utils.vectorstore.pinecone"], [26, "module-RAGchain.utils.websearch"], [26, "module-RAGchain.utils.websearch.base"], [26, "module-RAGchain.utils.websearch.bing_search"], [26, "module-RAGchain.utils.websearch.brave_search"], [26, "module-RAGchain.utils.websearch.google_search"]], "basedb (class in ragchain.db.base)": [[1, "RAGchain.DB.base.BaseDB"]], "mongodb (class in ragchain.db.mongo_db)": [[1, "RAGchain.DB.mongo_db.MongoDB"]], "pickledb (class in ragchain.db.pickle_db)": [[1, "RAGchain.DB.pickle_db.PickleDB"]], @@ -2079,23 +2184,6 @@ Search.setIndex({ "retrieve_id() (ragchain.benchmark.base.dummyretrieval method)": [[2, "RAGchain.benchmark.base.DummyRetrieval.retrieve_id"]], "retrieve_id_with_scores() (ragchain.benchmark.base.dummyretrieval method)": [[2, "RAGchain.benchmark.base.DummyRetrieval.retrieve_id_with_scores"]], "uuid_to_str() (ragchain.benchmark.base.baseevaluator static method)": [[2, "RAGchain.benchmark.base.BaseEvaluator.uuid_to_str"]], - "bleu (class in ragchain.benchmark.answer.metrics)": [[3, "RAGchain.benchmark.answer.metrics.BLEU"]], - "baseanswermetric (class in ragchain.benchmark.answer.metrics)": [[3, "RAGchain.benchmark.answer.metrics.BaseAnswerMetric"]], - "basepassageanswermetric (class in ragchain.benchmark.answer.metrics)": [[3, "RAGchain.benchmark.answer.metrics.BasePassageAnswerMetric"]], - "kf1 (class in ragchain.benchmark.answer.metrics)": [[3, "RAGchain.benchmark.answer.metrics.KF1"]], - "meteor (class in ragchain.benchmark.answer.metrics)": [[3, "RAGchain.benchmark.answer.metrics.METEOR"]], - "ragchain.benchmark.answer": [[3, "module-RAGchain.benchmark.answer"]], - "ragchain.benchmark.answer.metrics": [[3, "module-RAGchain.benchmark.answer.metrics"]], - "rouge (class in ragchain.benchmark.answer.metrics)": [[3, "RAGchain.benchmark.answer.metrics.ROUGE"]], - "eval() (ragchain.benchmark.answer.metrics.baseanswermetric method)": [[3, "RAGchain.benchmark.answer.metrics.BaseAnswerMetric.eval"]], - "eval() (ragchain.benchmark.answer.metrics.basepassageanswermetric method)": [[3, "RAGchain.benchmark.answer.metrics.BasePassageAnswerMetric.eval"]], - "metric_name (ragchain.benchmark.answer.metrics.baseanswermetric property)": [[3, "RAGchain.benchmark.answer.metrics.BaseAnswerMetric.metric_name"]], - "retrieval_metric_function() (ragchain.benchmark.answer.metrics.bleu method)": [[3, "RAGchain.benchmark.answer.metrics.BLEU.retrieval_metric_function"]], - "retrieval_metric_function() (ragchain.benchmark.answer.metrics.baseanswermetric method)": [[3, "RAGchain.benchmark.answer.metrics.BaseAnswerMetric.retrieval_metric_function"]], - "retrieval_metric_function() (ragchain.benchmark.answer.metrics.basepassageanswermetric method)": [[3, "RAGchain.benchmark.answer.metrics.BasePassageAnswerMetric.retrieval_metric_function"]], - "retrieval_metric_function() (ragchain.benchmark.answer.metrics.kf1 method)": [[3, "RAGchain.benchmark.answer.metrics.KF1.retrieval_metric_function"]], - "retrieval_metric_function() (ragchain.benchmark.answer.metrics.meteor method)": [[3, "RAGchain.benchmark.answer.metrics.METEOR.retrieval_metric_function"]], - "retrieval_metric_function() (ragchain.benchmark.answer.metrics.rouge method)": [[3, "RAGchain.benchmark.answer.metrics.ROUGE.retrieval_metric_function"]], "asqaevaluator (class in ragchain.benchmark.dataset.asqa)": [[4, "RAGchain.benchmark.dataset.asqa.ASQAEvaluator"]], "antiqueevaluator (class in ragchain.benchmark.dataset.antique)": [[4, "RAGchain.benchmark.dataset.antique.AntiqueEvaluator"]], "basebeirevaluator (class in ragchain.benchmark.dataset.base)": [[4, "RAGchain.benchmark.dataset.base.BaseBeirEvaluator"]], @@ -2108,11 +2196,12 @@ Search.setIndex({ "beirscidocsevaluator (class in ragchain.benchmark.dataset.beir)": [[4, "RAGchain.benchmark.dataset.beir.BeirSCIDOCSEvaluator"]], "beirscifactevaluator (class in ragchain.benchmark.dataset.beir)": [[4, "RAGchain.benchmark.dataset.beir.BeirSCIFACTEvaluator"]], "dstc11track5evaluator (class in ragchain.benchmark.dataset.dstc11_track5)": [[4, "RAGchain.benchmark.dataset.dstc11_track5.DSTC11Track5Evaluator"]], + "eli5evaluator (class in ragchain.benchmark.dataset.eli5)": [[4, "RAGchain.benchmark.dataset.eli5.Eli5Evaluator"]], "kostrategyqaevaluator (class in ragchain.benchmark.dataset.ko_strategy_qa)": [[4, "RAGchain.benchmark.dataset.ko_strategy_qa.KoStrategyQAEvaluator"]], "msmarcoevaluator (class in ragchain.benchmark.dataset.msmarco)": [[4, "RAGchain.benchmark.dataset.msmarco.MSMARCOEvaluator"]], "mrtydievaluator (class in ragchain.benchmark.dataset.mr_tydi)": [[4, "RAGchain.benchmark.dataset.mr_tydi.MrTydiEvaluator"]], "nfcorpusevaluator (class in ragchain.benchmark.dataset.nfcorpus)": [[4, "RAGchain.benchmark.dataset.nfcorpus.NFCorpusEvaluator"]], - "naturalqaevaluator (class in ragchain.benchmark.dataset.natural_qa)": [[4, "RAGchain.benchmark.dataset.natural_qa.NaturalQAEvaluator"]], + "naturalqaevaluator (class in ragchain.benchmark.dataset.natural_question)": [[4, "RAGchain.benchmark.dataset.natural_question.NaturalQAEvaluator"]], "qasperevaluator (class in ragchain.benchmark.dataset.qasper)": [[4, "RAGchain.benchmark.dataset.qasper.QasperEvaluator"]], "ragchain.benchmark.dataset": [[4, "module-RAGchain.benchmark.dataset"]], "ragchain.benchmark.dataset.antique": [[4, "module-RAGchain.benchmark.dataset.antique"]], @@ -2120,10 +2209,11 @@ Search.setIndex({ "ragchain.benchmark.dataset.base": [[4, "module-RAGchain.benchmark.dataset.base"]], "ragchain.benchmark.dataset.beir": [[4, "module-RAGchain.benchmark.dataset.beir"]], "ragchain.benchmark.dataset.dstc11_track5": [[4, "module-RAGchain.benchmark.dataset.dstc11_track5"]], + "ragchain.benchmark.dataset.eli5": [[4, "module-RAGchain.benchmark.dataset.eli5"]], "ragchain.benchmark.dataset.ko_strategy_qa": [[4, "module-RAGchain.benchmark.dataset.ko_strategy_qa"]], "ragchain.benchmark.dataset.mr_tydi": [[4, "module-RAGchain.benchmark.dataset.mr_tydi"]], "ragchain.benchmark.dataset.msmarco": [[4, "module-RAGchain.benchmark.dataset.msmarco"]], - "ragchain.benchmark.dataset.natural_qa": [[4, "module-RAGchain.benchmark.dataset.natural_qa"]], + "ragchain.benchmark.dataset.natural_question": [[4, "module-RAGchain.benchmark.dataset.natural_question"]], "ragchain.benchmark.dataset.nfcorpus": [[4, "module-RAGchain.benchmark.dataset.nfcorpus"]], "ragchain.benchmark.dataset.qasper": [[4, "module-RAGchain.benchmark.dataset.qasper"]], "ragchain.benchmark.dataset.search_qa": [[4, "module-RAGchain.benchmark.dataset.search_qa"]], @@ -2140,10 +2230,11 @@ Search.setIndex({ "evaluate() (ragchain.benchmark.dataset.asqa.asqaevaluator method)": [[4, "RAGchain.benchmark.dataset.asqa.ASQAEvaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.base.basebeirevaluator method)": [[4, "RAGchain.benchmark.dataset.base.BaseBeirEvaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.dstc11_track5.dstc11track5evaluator method)": [[4, "RAGchain.benchmark.dataset.dstc11_track5.DSTC11Track5Evaluator.evaluate"]], + "evaluate() (ragchain.benchmark.dataset.eli5.eli5evaluator method)": [[4, "RAGchain.benchmark.dataset.eli5.Eli5Evaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.ko_strategy_qa.kostrategyqaevaluator method)": [[4, "RAGchain.benchmark.dataset.ko_strategy_qa.KoStrategyQAEvaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.mr_tydi.mrtydievaluator method)": [[4, "RAGchain.benchmark.dataset.mr_tydi.MrTydiEvaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.msmarco.msmarcoevaluator method)": [[4, "RAGchain.benchmark.dataset.msmarco.MSMARCOEvaluator.evaluate"]], - "evaluate() (ragchain.benchmark.dataset.natural_qa.naturalqaevaluator method)": [[4, "RAGchain.benchmark.dataset.natural_qa.NaturalQAEvaluator.evaluate"]], + "evaluate() (ragchain.benchmark.dataset.natural_question.naturalqaevaluator method)": [[4, "RAGchain.benchmark.dataset.natural_question.NaturalQAEvaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.nfcorpus.nfcorpusevaluator method)": [[4, "RAGchain.benchmark.dataset.nfcorpus.NFCorpusEvaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.qasper.qasperevaluator method)": [[4, "RAGchain.benchmark.dataset.qasper.QasperEvaluator.evaluate"]], "evaluate() (ragchain.benchmark.dataset.search_qa.searchqaevaluator method)": [[4, "RAGchain.benchmark.dataset.search_qa.SearchQAEvaluator.evaluate"]], @@ -2154,10 +2245,11 @@ Search.setIndex({ "ingest() (ragchain.benchmark.dataset.base.basebeirevaluator method)": [[4, "RAGchain.benchmark.dataset.base.BaseBeirEvaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.base.basedatasetevaluator method)": [[4, "RAGchain.benchmark.dataset.base.BaseDatasetEvaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.dstc11_track5.dstc11track5evaluator method)": [[4, "RAGchain.benchmark.dataset.dstc11_track5.DSTC11Track5Evaluator.ingest"]], + "ingest() (ragchain.benchmark.dataset.eli5.eli5evaluator method)": [[4, "RAGchain.benchmark.dataset.eli5.Eli5Evaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.ko_strategy_qa.kostrategyqaevaluator method)": [[4, "RAGchain.benchmark.dataset.ko_strategy_qa.KoStrategyQAEvaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.mr_tydi.mrtydievaluator method)": [[4, "RAGchain.benchmark.dataset.mr_tydi.MrTydiEvaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.msmarco.msmarcoevaluator method)": [[4, "RAGchain.benchmark.dataset.msmarco.MSMARCOEvaluator.ingest"]], - "ingest() (ragchain.benchmark.dataset.natural_qa.naturalqaevaluator method)": [[4, "RAGchain.benchmark.dataset.natural_qa.NaturalQAEvaluator.ingest"]], + "ingest() (ragchain.benchmark.dataset.natural_question.naturalqaevaluator method)": [[4, "RAGchain.benchmark.dataset.natural_question.NaturalQAEvaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.nfcorpus.nfcorpusevaluator method)": [[4, "RAGchain.benchmark.dataset.nfcorpus.NFCorpusEvaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.qasper.qasperevaluator method)": [[4, "RAGchain.benchmark.dataset.qasper.QasperEvaluator.ingest"]], "ingest() (ragchain.benchmark.dataset.search_qa.searchqaevaluator method)": [[4, "RAGchain.benchmark.dataset.search_qa.SearchQAEvaluator.ingest"]], @@ -2171,9 +2263,11 @@ Search.setIndex({ "baserunpipeline (class in ragchain.pipeline.base)": [[7, "RAGchain.pipeline.base.BaseRunPipeline"]], "basicingestpipeline (class in ragchain.pipeline.basic)": [[7, "RAGchain.pipeline.basic.BasicIngestPipeline"]], "basicrunpipeline (class in ragchain.pipeline.basic)": [[7, "RAGchain.pipeline.basic.BasicRunPipeline"]], + "googlesearchrunpipeline (class in ragchain.pipeline.google_search)": [[7, "RAGchain.pipeline.google_search.GoogleSearchRunPipeline"]], "ragchain.pipeline": [[7, "module-RAGchain.pipeline"]], "ragchain.pipeline.base": [[7, "module-RAGchain.pipeline.base"]], "ragchain.pipeline.basic": [[7, "module-RAGchain.pipeline.basic"]], + "ragchain.pipeline.google_search": [[7, "module-RAGchain.pipeline.google_search"]], "ragchain.pipeline.rerank": [[7, "module-RAGchain.pipeline.rerank"]], "ragchain.pipeline.visconde": [[7, "module-RAGchain.pipeline.visconde"]], "rerankrunpipeline (class in ragchain.pipeline.rerank)": [[7, "RAGchain.pipeline.rerank.RerankRunPipeline"]], @@ -2182,9 +2276,11 @@ Search.setIndex({ "default_prompt (ragchain.pipeline.base.baserunpipeline attribute)": [[7, "RAGchain.pipeline.base.BaseRunPipeline.default_prompt"]], "get_passages_and_run() (ragchain.pipeline.base.baserunpipeline method)": [[7, "RAGchain.pipeline.base.BaseRunPipeline.get_passages_and_run"]], "get_passages_and_run() (ragchain.pipeline.basic.basicrunpipeline method)": [[7, "RAGchain.pipeline.basic.BasicRunPipeline.get_passages_and_run"]], + "get_passages_and_run() (ragchain.pipeline.google_search.googlesearchrunpipeline method)": [[7, "RAGchain.pipeline.google_search.GoogleSearchRunPipeline.get_passages_and_run"]], "get_passages_and_run() (ragchain.pipeline.rerank.rerankrunpipeline method)": [[7, "RAGchain.pipeline.rerank.RerankRunPipeline.get_passages_and_run"]], "get_passages_and_run() (ragchain.pipeline.visconde.visconderunpipeline method)": [[7, "RAGchain.pipeline.visconde.ViscondeRunPipeline.get_passages_and_run"]], "run (ragchain.pipeline.basic.basicrunpipeline attribute)": [[7, "RAGchain.pipeline.basic.BasicRunPipeline.run"]], + "run (ragchain.pipeline.google_search.googlesearchrunpipeline attribute)": [[7, "RAGchain.pipeline.google_search.GoogleSearchRunPipeline.run"]], "run (ragchain.pipeline.rerank.rerankrunpipeline attribute)": [[7, "RAGchain.pipeline.rerank.RerankRunPipeline.run"]], "run (ragchain.pipeline.visconde.visconderunpipeline attribute)": [[7, "RAGchain.pipeline.visconde.ViscondeRunPipeline.run"]], "run() (ragchain.pipeline.base.baseingestpipeline method)": [[7, "RAGchain.pipeline.base.BaseIngestPipeline.run"]], @@ -2208,8 +2304,10 @@ Search.setIndex({ "ragchain.preprocess.loader.mathpix_markdown_loader": [[9, "module-RAGchain.preprocess.loader.mathpix_markdown_loader"]], "ragchain.preprocess.loader.nougat_pdf_loader": [[9, "module-RAGchain.preprocess.loader.nougat_pdf_loader"]], "ragchain.preprocess.loader.pdf_link_loader": [[9, "module-RAGchain.preprocess.loader.pdf_link_loader"]], + "ragchain.preprocess.loader.rem_loader": [[9, "module-RAGchain.preprocess.loader.rem_loader"]], "ragchain.preprocess.loader.rust_hwp_loader": [[9, "module-RAGchain.preprocess.loader.rust_hwp_loader"]], "ragchain.preprocess.loader.win32_hwp_loader": [[9, "module-RAGchain.preprocess.loader.win32_hwp_loader"]], + "remloader (class in ragchain.preprocess.loader.rem_loader)": [[9, "RAGchain.preprocess.loader.rem_loader.RemLoader"]], "rusthwploader (class in ragchain.preprocess.loader.rust_hwp_loader)": [[9, "RAGchain.preprocess.loader.rust_hwp_loader.RustHwpLoader"]], "win32hwploader (class in ragchain.preprocess.loader.win32_hwp_loader)": [[9, "RAGchain.preprocess.loader.win32_hwp_loader.Win32HwpLoader"]], "async_request() (ragchain.preprocess.loader.hwp_loader.hwploader method)": [[9, "RAGchain.preprocess.loader.hwp_loader.HwpLoader.async_request"]], @@ -2222,6 +2320,7 @@ Search.setIndex({ "lazy_load() (ragchain.preprocess.loader.hwp_loader.hwploader method)": [[9, "RAGchain.preprocess.loader.hwp_loader.HwpLoader.lazy_load"]], "lazy_load() (ragchain.preprocess.loader.mathpix_markdown_loader.mathpixmarkdownloader method)": [[9, "RAGchain.preprocess.loader.mathpix_markdown_loader.MathpixMarkdownLoader.lazy_load"]], "lazy_load() (ragchain.preprocess.loader.nougat_pdf_loader.nougatpdfloader method)": [[9, "RAGchain.preprocess.loader.nougat_pdf_loader.NougatPDFLoader.lazy_load"]], + "lazy_load() (ragchain.preprocess.loader.rem_loader.remloader method)": [[9, "RAGchain.preprocess.loader.rem_loader.RemLoader.lazy_load"]], "lazy_load() (ragchain.preprocess.loader.rust_hwp_loader.rusthwploader method)": [[9, "RAGchain.preprocess.loader.rust_hwp_loader.RustHwpLoader.lazy_load"]], "lazy_load() (ragchain.preprocess.loader.win32_hwp_loader.win32hwploader method)": [[9, "RAGchain.preprocess.loader.win32_hwp_loader.Win32HwpLoader.lazy_load"]], "load() (ragchain.preprocess.loader.dataset_loader.kostrategyqaloader method)": [[9, "RAGchain.preprocess.loader.dataset_loader.KoStrategyQALoader.load"]], @@ -2232,6 +2331,7 @@ Search.setIndex({ "load() (ragchain.preprocess.loader.mathpix_markdown_loader.mathpixmarkdownloader method)": [[9, "RAGchain.preprocess.loader.mathpix_markdown_loader.MathpixMarkdownLoader.load"]], "load() (ragchain.preprocess.loader.nougat_pdf_loader.nougatpdfloader method)": [[9, "RAGchain.preprocess.loader.nougat_pdf_loader.NougatPDFLoader.load"]], "load() (ragchain.preprocess.loader.pdf_link_loader.pdflinkloader method)": [[9, "RAGchain.preprocess.loader.pdf_link_loader.PdfLinkLoader.load"]], + "load() (ragchain.preprocess.loader.rem_loader.remloader method)": [[9, "RAGchain.preprocess.loader.rem_loader.RemLoader.load"]], "load() (ragchain.preprocess.loader.rust_hwp_loader.rusthwploader method)": [[9, "RAGchain.preprocess.loader.rust_hwp_loader.RustHwpLoader.load"]], "load() (ragchain.preprocess.loader.win32_hwp_loader.win32hwploader method)": [[9, "RAGchain.preprocess.loader.win32_hwp_loader.Win32HwpLoader.load"]], "preprocessor() (ragchain.preprocess.loader.win32_hwp_loader.win32hwploader method)": [[9, "RAGchain.preprocess.loader.win32_hwp_loader.Win32HwpLoader.preprocessor"]], @@ -2251,7 +2351,6 @@ Search.setIndex({ "ragchain.preprocess.text_splitter.token_splitter": [[10, "module-RAGchain.preprocess.text_splitter.token_splitter"]], "recursivetextsplitter (class in ragchain.preprocess.text_splitter.text_splitter)": [[10, "RAGchain.preprocess.text_splitter.text_splitter.RecursiveTextSplitter"]], "tokensplitter (class in ragchain.preprocess.text_splitter.token_splitter)": [[10, "RAGchain.preprocess.text_splitter.token_splitter.TokenSplitter"]], - "docs_to_passages() (ragchain.preprocess.text_splitter.base.basetextsplitter method)": [[10, "RAGchain.preprocess.text_splitter.base.BaseTextSplitter.docs_to_passages"]], "split_document() (ragchain.preprocess.text_splitter.base.basetextsplitter method)": [[10, "RAGchain.preprocess.text_splitter.base.BaseTextSplitter.split_document"]], "split_document() (ragchain.preprocess.text_splitter.code_splitter.codesplitter method)": [[10, "RAGchain.preprocess.text_splitter.code_splitter.CodeSplitter.split_document"]], "split_document() (ragchain.preprocess.text_splitter.html_header_splitter.htmlheadersplitter method)": [[10, "RAGchain.preprocess.text_splitter.html_header_splitter.HTMLHeaderSplitter.split_document"]], @@ -2266,210 +2365,233 @@ Search.setIndex({ "ragchain.reranker.bm25": [[11, "module-RAGchain.reranker.bm25"]], "rerank() (ragchain.reranker.base.basereranker method)": [[11, "RAGchain.reranker.base.BaseReranker.rerank"]], "rerank() (ragchain.reranker.bm25.bm25reranker method)": [[11, "RAGchain.reranker.bm25.BM25Reranker.rerank"]], - "llmreranker (class in ragchain.reranker.llm.llm)": [[12, "RAGchain.reranker.llm.llm.LLMReranker"]], - "ragchain.reranker.llm": [[12, "module-RAGchain.reranker.llm"]], - "ragchain.reranker.llm.llm": [[12, "module-RAGchain.reranker.llm.llm"]], - "ragchain.reranker.llm.rank_gpt": [[12, "module-RAGchain.reranker.llm.rank_gpt"]], - "safeopenai (class in ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.SafeOpenai"]], - "chat() (ragchain.reranker.llm.rank_gpt.safeopenai method)": [[12, "RAGchain.reranker.llm.rank_gpt.SafeOpenai.chat"]], - "clean_response() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.clean_response"]], - "create_permutation_instruction() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.create_permutation_instruction"]], - "find_passages() (ragchain.reranker.llm.llm.llmreranker method)": [[12, "RAGchain.reranker.llm.llm.LLMReranker.find_passages"]], - "get_post_prompt() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.get_post_prompt"]], - "get_prefix_prompt() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.get_prefix_prompt"]], - "make_item() (ragchain.reranker.llm.llm.llmreranker method)": [[12, "RAGchain.reranker.llm.llm.LLMReranker.make_item"]], - "make_passages() (ragchain.reranker.llm.llm.llmreranker method)": [[12, "RAGchain.reranker.llm.llm.LLMReranker.make_passages"]], - "max_tokens() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.max_tokens"]], - "num_tokens_from_messages() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.num_tokens_from_messages"]], - "permutation_pipeline() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.permutation_pipeline"]], - "receive_permutation() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.receive_permutation"]], - "remove_duplicate() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.remove_duplicate"]], - "rerank() (ragchain.reranker.llm.llm.llmreranker method)": [[12, "RAGchain.reranker.llm.llm.LLMReranker.rerank"]], - "rerank_sliding_window() (ragchain.reranker.llm.llm.llmreranker method)": [[12, "RAGchain.reranker.llm.llm.LLMReranker.rerank_sliding_window"]], - "run_llm() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.run_llm"]], - "sliding_windows() (in module ragchain.reranker.llm.rank_gpt)": [[12, "RAGchain.reranker.llm.rank_gpt.sliding_windows"]], - "text() (ragchain.reranker.llm.rank_gpt.safeopenai method)": [[12, "RAGchain.reranker.llm.rank_gpt.SafeOpenai.text"]], - "monot5 (class in ragchain.reranker.pygaggle.transformer)": [[13, "RAGchain.reranker.pygaggle.transformer.MonoT5"]], - "monot5reranker (class in ragchain.reranker.pygaggle.monot5)": [[13, "RAGchain.reranker.pygaggle.monoT5.MonoT5Reranker"]], - "query (class in ragchain.reranker.pygaggle.base)": [[13, "RAGchain.reranker.pygaggle.base.Query"]], - "ragchain.reranker.pygaggle": [[13, "module-RAGchain.reranker.pygaggle"]], - "ragchain.reranker.pygaggle.base": [[13, "module-RAGchain.reranker.pygaggle.base"]], - "ragchain.reranker.pygaggle.monot5": [[13, "module-RAGchain.reranker.pygaggle.monoT5"]], - "ragchain.reranker.pygaggle.transformer": [[13, "module-RAGchain.reranker.pygaggle.transformer"]], - "reranker (class in ragchain.reranker.pygaggle.base)": [[13, "RAGchain.reranker.pygaggle.base.Reranker"]], - "text (class in ragchain.reranker.pygaggle.base)": [[13, "RAGchain.reranker.pygaggle.base.Text"]], - "get_model() (ragchain.reranker.pygaggle.transformer.monot5 static method)": [[13, "RAGchain.reranker.pygaggle.transformer.MonoT5.get_model"]], - "get_prediction_tokens() (ragchain.reranker.pygaggle.transformer.monot5 static method)": [[13, "RAGchain.reranker.pygaggle.transformer.MonoT5.get_prediction_tokens"]], - "get_tokenizer() (ragchain.reranker.pygaggle.transformer.monot5 static method)": [[13, "RAGchain.reranker.pygaggle.transformer.MonoT5.get_tokenizer"]], - "rerank() (ragchain.reranker.pygaggle.base.reranker method)": [[13, "RAGchain.reranker.pygaggle.base.Reranker.rerank"]], - "rerank() (ragchain.reranker.pygaggle.monot5.monot5reranker method)": [[13, "RAGchain.reranker.pygaggle.monoT5.MonoT5Reranker.rerank"]], - "rescore() (ragchain.reranker.pygaggle.base.reranker method)": [[13, "RAGchain.reranker.pygaggle.base.Reranker.rescore"]], - "rescore() (ragchain.reranker.pygaggle.transformer.monot5 method)": [[13, "RAGchain.reranker.pygaggle.transformer.MonoT5.rescore"]], - "enct5forsequenceclassification (class in ragchain.reranker.tart.modeling_enc_t5)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification"]], - "enct5tokenizer (class in ragchain.reranker.tart.tokenization_enc_t5)": [[15, "RAGchain.reranker.tart.tokenization_enc_t5.EncT5Tokenizer"]], - "ragchain.reranker.tart": [[15, "module-RAGchain.reranker.tart"]], - "ragchain.reranker.tart.modeling_enc_t5": [[15, "module-RAGchain.reranker.tart.modeling_enc_t5"]], - "ragchain.reranker.tart.tart": [[15, "module-RAGchain.reranker.tart.tart"]], - "ragchain.reranker.tart.tokenization_enc_t5": [[15, "module-RAGchain.reranker.tart.tokenization_enc_t5"]], - "tartreranker (class in ragchain.reranker.tart.tart)": [[15, "RAGchain.reranker.tart.tart.TARTReranker"]], - "build_inputs_with_special_tokens() (ragchain.reranker.tart.tokenization_enc_t5.enct5tokenizer method)": [[15, "RAGchain.reranker.tart.tokenization_enc_t5.EncT5Tokenizer.build_inputs_with_special_tokens"]], - "create_token_type_ids_from_sequences() (ragchain.reranker.tart.tokenization_enc_t5.enct5tokenizer method)": [[15, "RAGchain.reranker.tart.tokenization_enc_t5.EncT5Tokenizer.create_token_type_ids_from_sequences"]], - "deparallelize() (ragchain.reranker.tart.modeling_enc_t5.enct5forsequenceclassification method)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification.deparallelize"]], - "forward() (ragchain.reranker.tart.modeling_enc_t5.enct5forsequenceclassification method)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification.forward"]], - "get_encoder() (ragchain.reranker.tart.modeling_enc_t5.enct5forsequenceclassification method)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification.get_encoder"]], - "get_input_embeddings() (ragchain.reranker.tart.modeling_enc_t5.enct5forsequenceclassification method)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification.get_input_embeddings"]], - "get_special_tokens_mask() (ragchain.reranker.tart.tokenization_enc_t5.enct5tokenizer method)": [[15, "RAGchain.reranker.tart.tokenization_enc_t5.EncT5Tokenizer.get_special_tokens_mask"]], - "parallelize() (ragchain.reranker.tart.modeling_enc_t5.enct5forsequenceclassification method)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification.parallelize"]], - "rerank() (ragchain.reranker.tart.tart.tartreranker method)": [[15, "RAGchain.reranker.tart.tart.TARTReranker.rerank"]], - "set_input_embeddings() (ragchain.reranker.tart.modeling_enc_t5.enct5forsequenceclassification method)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification.set_input_embeddings"]], - "training (ragchain.reranker.tart.modeling_enc_t5.enct5forsequenceclassification attribute)": [[15, "RAGchain.reranker.tart.modeling_enc_t5.EncT5ForSequenceClassification.training"]], - "ragchain.reranker.time": [[16, "module-RAGchain.reranker.time"]], - "ragchain.reranker.time.simple_time": [[16, "module-RAGchain.reranker.time.simple_time"]], - "ragchain.reranker.time.weighted_time": [[16, "module-RAGchain.reranker.time.weighted_time"]], - "simpletimereranker (class in ragchain.reranker.time.simple_time)": [[16, "RAGchain.reranker.time.simple_time.SimpleTimeReranker"]], - "weightedtimereranker (class in ragchain.reranker.time.weighted_time)": [[16, "RAGchain.reranker.time.weighted_time.WeightedTimeReranker"]], - "rerank() (ragchain.reranker.time.simple_time.simpletimereranker method)": [[16, "RAGchain.reranker.time.simple_time.SimpleTimeReranker.rerank"]], - "rerank() (ragchain.reranker.time.weighted_time.weightedtimereranker method)": [[16, "RAGchain.reranker.time.weighted_time.WeightedTimeReranker.rerank"]], - "ragchain.reranker.upr": [[17, "module-RAGchain.reranker.upr"]], - "ragchain.reranker.upr.upr": [[17, "module-RAGchain.reranker.upr.upr"]], - "uprreranker (class in ragchain.reranker.upr.upr)": [[17, "RAGchain.reranker.upr.upr.UPRReranker"]], - "calculate_likelihood() (ragchain.reranker.upr.upr.uprreranker method)": [[17, "RAGchain.reranker.upr.upr.UPRReranker.calculate_likelihood"]], - "rerank() (ragchain.reranker.upr.upr.uprreranker method)": [[17, "RAGchain.reranker.upr.upr.UPRReranker.rerank"]], - "basic_system_prompt (ragchain.retrieval.hyde.hyderetrieval attribute)": [[18, "RAGchain.retrieval.hyde.HyDERetrieval.BASIC_SYSTEM_PROMPT"]], - "bm25retrieval (class in ragchain.retrieval.bm25_retrieval)": [[18, "RAGchain.retrieval.bm25_retrieval.BM25Retrieval"]], - "baseretrieval (class in ragchain.retrieval.base)": [[18, "RAGchain.retrieval.base.BaseRetrieval"]], - "hyderetrieval (class in ragchain.retrieval.hyde)": [[18, "RAGchain.retrieval.hyde.HyDERetrieval"]], - "hybridretrieval (class in ragchain.retrieval.hybrid)": [[18, "RAGchain.retrieval.hybrid.HybridRetrieval"]], - "ragchain.retrieval": [[18, "module-RAGchain.retrieval"]], - "ragchain.retrieval.base": [[18, "module-RAGchain.retrieval.base"]], - "ragchain.retrieval.bm25_retrieval": [[18, "module-RAGchain.retrieval.bm25_retrieval"]], - "ragchain.retrieval.hybrid": [[18, "module-RAGchain.retrieval.hybrid"]], - "ragchain.retrieval.hyde": [[18, "module-RAGchain.retrieval.hyde"]], - "ragchain.retrieval.vectordb_retrieval": [[18, "module-RAGchain.retrieval.vectordb_retrieval"]], - "vectordbretrieval (class in ragchain.retrieval.vectordb_retrieval)": [[18, "RAGchain.retrieval.vectordb_retrieval.VectorDBRetrieval"]], - "create_db() (ragchain.retrieval.base.baseretrieval static method)": [[18, "RAGchain.retrieval.base.BaseRetrieval.create_db"]], - "delete() (ragchain.retrieval.base.baseretrieval method)": [[18, "RAGchain.retrieval.base.BaseRetrieval.delete"]], - "delete() (ragchain.retrieval.bm25_retrieval.bm25retrieval method)": [[18, "RAGchain.retrieval.bm25_retrieval.BM25Retrieval.delete"]], - "delete() (ragchain.retrieval.hybrid.hybridretrieval method)": [[18, "RAGchain.retrieval.hybrid.HybridRetrieval.delete"]], - "delete() (ragchain.retrieval.hyde.hyderetrieval method)": [[18, "RAGchain.retrieval.hyde.HyDERetrieval.delete"]], - "delete() (ragchain.retrieval.vectordb_retrieval.vectordbretrieval method)": [[18, "RAGchain.retrieval.vectordb_retrieval.VectorDBRetrieval.delete"]], - "duplicate_check() (ragchain.retrieval.base.baseretrieval static method)": [[18, "RAGchain.retrieval.base.BaseRetrieval.duplicate_check"]], - "fetch_data() (ragchain.retrieval.base.baseretrieval method)": [[18, "RAGchain.retrieval.base.BaseRetrieval.fetch_data"]], - "fetch_data_from_db_origin() (ragchain.retrieval.base.baseretrieval method)": [[18, "RAGchain.retrieval.base.BaseRetrieval.fetch_data_from_db_origin"]], - "fetch_each_db() (ragchain.retrieval.base.baseretrieval method)": [[18, "RAGchain.retrieval.base.BaseRetrieval.fetch_each_db"]], - "ingest() (ragchain.retrieval.base.baseretrieval method)": [[18, "RAGchain.retrieval.base.BaseRetrieval.ingest"]], - "ingest() (ragchain.retrieval.bm25_retrieval.bm25retrieval method)": [[18, "RAGchain.retrieval.bm25_retrieval.BM25Retrieval.ingest"]], - "ingest() (ragchain.retrieval.hybrid.hybridretrieval method)": [[18, "RAGchain.retrieval.hybrid.HybridRetrieval.ingest"]], - "ingest() (ragchain.retrieval.hyde.hyderetrieval method)": [[18, 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method)": [[25, "RAGchain.utils.vectorstore.base.SlimVectorStore.add_passages"]], + "add_passages() (ragchain.utils.vectorstore.chroma.chromaslim method)": [[25, "RAGchain.utils.vectorstore.chroma.ChromaSlim.add_passages"]], + "add_passages() (ragchain.utils.vectorstore.pinecone.pineconeslim method)": [[25, "RAGchain.utils.vectorstore.pinecone.PineconeSlim.add_passages"]], + "basewebsearch (class in ragchain.utils.websearch.base)": [[26, "RAGchain.utils.websearch.base.BaseWebSearch"]], + "googlesearch (class in ragchain.utils.websearch.google_search)": [[26, "RAGchain.utils.websearch.google_search.GoogleSearch"]], + "ragchain.utils.websearch": [[26, "module-RAGchain.utils.websearch"]], + "ragchain.utils.websearch.base": [[26, "module-RAGchain.utils.websearch.base"]], + "ragchain.utils.websearch.bing_search": [[26, "module-RAGchain.utils.websearch.bing_search"]], + "ragchain.utils.websearch.brave_search": [[26, "module-RAGchain.utils.websearch.brave_search"]], + "ragchain.utils.websearch.google_search": [[26, "module-RAGchain.utils.websearch.google_search"]], + "get_search_data() (ragchain.utils.websearch.base.basewebsearch method)": [[26, "RAGchain.utils.websearch.base.BaseWebSearch.get_search_data"]], + "get_search_data() (ragchain.utils.websearch.google_search.googlesearch method)": [[26, "RAGchain.utils.websearch.google_search.GoogleSearch.get_search_data"]] } }) \ No newline at end of file

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None = None, **kwargs) → Submodules**kwargs: Additional metadata to search.