Chore: Fix broken links

crate · Sep 16, 2024 · c12dc2b · c12dc2b
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diff --git a/docs/_include/links.md b/docs/_include/links.md
@@ -13,7 +13,7 @@
 [Geospatial Data Model]: https://cratedb.com/data-model/geospatial
 [Geospatial Database]: https://cratedb.com/geospatial-spatial-database
 [HNSW]: https://en.wikipedia.org/wiki/Hierarchical_navigable_small_world
-[HNSW paper]: https://arxiv.org/pdf/1603.09320.pdf
+[HNSW paper]: https://arxiv.org/pdf/1603.09320
 [HoloViews]: https://www.holoviews.org/
 [Indexing, Columnar Storage, and Aggregations]: https://cratedb.com/product/features/indexing-columnar-storage-aggregations
 [inverted index]: https://en.wikipedia.org/wiki/Inverted_index

diff --git a/docs/domain/ml/index.md b/docs/domain/ml/index.md
@@ -366,10 +366,10 @@ tensorflow
 [How to Use Private Data in Generative AI]: https://youtu.be/icquKckM4o0?feature=shared
 [Jupyter Notebook]: https://jupyter.org/
 [LangChain]: https://python.langchain.com/
-[LangChain: Analyzing structured data]: https://python.langchain.com/docs/use_cases/extraction/
-[LangChain: Chatbots]: https://python.langchain.com/docs/use_cases/chatbots
-[LangChain: Q&A with SQL]: https://python.langchain.com/docs/use_cases/sql/
-[LangChain: Retrieval augmented generation]: https://python.langchain.com/docs/use_cases/question_answering/
+[LangChain: Analyzing structured data]: https://python.langchain.com/docs/how_to/#extraction
+[LangChain: Chatbots]: https://python.langchain.com/docs/how_to/#chatbots
+[LangChain: Q&A with SQL]: https://python.langchain.com/docs/how_to/#qa-over-sql--csv
+[LangChain: Retrieval augmented generation]: https://python.langchain.com/docs/tutorials/sql_qa/
 [langchain-conversational-history-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Fllm-langchain%2Fconversational_memory.ipynb
 [langchain-conversational-history-colab]: https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/conversational_memory.ipynb
 [langchain-conversational-history-github]: https://github.com/crate/cratedb-examples/blob/main/topic/machine-learning/llm-langchain/conversational_memory.ipynb

diff --git a/docs/feature/search/vector/index.md b/docs/feature/search/vector/index.md
@@ -274,7 +274,7 @@ features of Lucene 9, and about the journey of implementing HNSW from
 
 
 
-[Lucene Is All You Need]: https://arxiv.org/pdf/2308.14963.pdf
+[Lucene Is All You Need]: https://arxiv.org/pdf/2308.14963
 [making of Lucene vector search]: https://www.apachecon.com/acna2022/slides/04_lucene_vector_search_sokolov.pdf
 [Time series data in manufacturing]: https://github.com/crate/cratedb-datasets/raw/main/machine-learning/fulltext/White%20paper%20-%20Time-series%20data%20in%20manufacturing.pdf
 [Uwe Schindler - What's coming next with Apache Lucene?]: https://youtu.be/EHJjSYWjIF0?t=330s&feature=shared