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update mkdocs - Adithya S K
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adithya-s-k committed Oct 16, 2024
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nav:
- Home: README.md
- Prompt Engineering:
- Prompting Techniques: PromptEngineering/README.md
- Introduction: PromptEngineering/prompt_engineering.ipynb
- Function Calling: PromptEngineering/function_calling.ipynb
- RAG:
- Introduction: RAG/README.md
- RAG Techniques:
- RAG from Scratch:
- Overview: RAG/00_RAG_from_Scratch/README.md
- Implementation: RAG/00_RAG_from_Scratch/RAG_in_10_lines.ipynb
- Basic RAG:
- Overview: RAG/01_Basic_RAG/README.md
- Implementation: RAG/01_Basic_RAG/notebook.ipynb
- Evaluation: RAG/01_Basic_RAG/notebook_eval.ipynb
- BM25 RAG:
- Overview: RAG/01_BM25_RAG/README.md
- Implementation: RAG/01_BM25_RAG/notebook.ipynb
- Data Ingestion:
- Overview: RAG/01_Data_Ingestion/README.md
- Data Parsing: RAG/01_Data_Ingestion/data_parsing.ipynb
- Data Chunking: RAG/01_Data_Ingestion/data_chunking.ipynb
- Data Embedding: RAG/01_Data_Ingestion/data_embedding.ipynb
- Data Ingestion: RAG/01_Data_Ingestion/data_ingestion.ipynb
- RAG Evaluation:
- Overview: RAG/01_RAG_Evaluation/README.md
- RAGAS: RAG/01_RAG_Evaluation/RAGAS.ipynb
- DeepEval: RAG/01_RAG_Evaluation/deepeval.ipynb
- TruLens: RAG/01_RAG_Evaluation/trulens.ipynb
- Notebook: RAG/01_RAG_Evaluation/notebook.ipynb
- RAG Observability:
- Overview: RAG/01_RAG_Observability/README.md
- Implementation: RAG/01_RAG_Observability/notebook.ipynb
- ReRanker RAG:
- Overview: RAG/02_ReRanker_RAG/README.md
- Implementation: RAG/02_ReRanker_RAG/notebook.ipynb
- Evaluation: RAG/02_ReRanker_RAG/notebook_eval.ipynb
- Hybrid RAG:
- Overview: RAG/03_Hybrid_RAG/README.md
- Qdrant Hybrid Search: RAG/03_Hybrid_RAG/_Qdrant_Hybrid_Search.ipynb
- Implementation: RAG/03_Hybrid_RAG/qdrant_hybrid.ipynb
- Sentence Window RAG:
- Overview: RAG/04_Sentence_Window_RAG/README.md
- Implementation: RAG/04_Sentence_Window_RAG/Sentence_window_retrieval.ipynb
- Auto Merging RAG:
- Overview: RAG/05_Auto_Merging_RAG/README.md
- Implementation: RAG/05_Auto_Merging_RAG/Auto-merging_Retrieval.ipynb
- HyDE RAG:
- Overview: RAG/06_HyDE_RAG/README.md
- Implementation: RAG/06_HyDE_RAG/HyDEQueryTransformDemo.ipynb
- Query Transformation RAG:
- Overview: RAG/06_Query_Transformation_RAG/README.md
- Implementation: RAG/06_Query_Transformation_RAG/query_transform_cookbook.ipynb
- Self Query RAG:
- Overview: RAG/07_Self_Query_RAG/README.md
- Implementation: RAG/07_Self_Query_RAG/Self_Query_RAG.ipynb
- RAG Fusion:
- Overview: RAG/08_RAG_Fusion/README.md
- Implementation: RAG/08_RAG_Fusion/ragfusion.ipynb
- RAPTOR:
- Overview: RAG/09_RAPTOR/README.md
- Implementation: RAG/09_RAPTOR/raptor.ipynb
- ColBERT RAG:
- Overview: RAG/10_ColBERT_RAG/README.md
- Implementation: RAG/10_ColBERT_RAG/ColBert_RAG.ipynb
- Ragatouille Retriever: RAG/10_ColBERT_RAG/ragatouille_retriever.ipynb
- Graph RAG:
- Overview: RAG/11_Graph_RAG/README.md
- Implementation: RAG/11_Graph_RAG/GraphRAG_v1.ipynb
- Agentic RAG:
- Overview: RAG/12_Agnetic_RAG/README.md
- Implementation: RAG/12_Agnetic_RAG/multi_document_agents.ipynb
- Vision RAG:
- Implementation: RAG/13_Vision_RAG/gpt4v_multi_modal_retrieval.ipynb
- Introduction: RAG/README.md
- RAG Techniques:
- RAG from Scratch:
- Overview: RAG/00_RAG_from_Scratch/README.md
- Implementation: RAG/00_RAG_from_Scratch/RAG_in_10_lines.ipynb
- Basic RAG:
- Overview: RAG/01_Basic_RAG/README.md
- Implementation: RAG/01_Basic_RAG/notebook.ipynb
- Evaluation: RAG/01_Basic_RAG/notebook_eval.ipynb
- BM25 RAG:
- Overview: RAG/01_BM25_RAG/README.md
- Implementation: RAG/01_BM25_RAG/notebook.ipynb
- Data Ingestion:
- Overview: RAG/01_Data_Ingestion/README.md
- Data Parsing: RAG/01_Data_Ingestion/data_parsing.ipynb
- Data Chunking: RAG/01_Data_Ingestion/data_chunking.ipynb
- Data Embedding: RAG/01_Data_Ingestion/data_embedding.ipynb
- Data Ingestion: RAG/01_Data_Ingestion/data_ingestion.ipynb
- RAG Evaluation:
- Overview: RAG/01_RAG_Evaluation/README.md
- RAGAS: RAG/01_RAG_Evaluation/RAGAS.ipynb
- DeepEval: RAG/01_RAG_Evaluation/deepeval.ipynb
- TruLens: RAG/01_RAG_Evaluation/trulens.ipynb
- Notebook: RAG/01_RAG_Evaluation/notebook.ipynb
- RAG Observability:
- Overview: RAG/01_RAG_Observability/README.md
- Implementation: RAG/01_RAG_Observability/notebook.ipynb
- ReRanker RAG:
- Overview: RAG/02_ReRanker_RAG/README.md
- Implementation: RAG/02_ReRanker_RAG/notebook.ipynb
- Evaluation: RAG/02_ReRanker_RAG/notebook_eval.ipynb
- Hybrid RAG:
- Overview: RAG/03_Hybrid_RAG/README.md
- Qdrant Hybrid Search: RAG/03_Hybrid_RAG/_Qdrant_Hybrid_Search.ipynb
- Implementation: RAG/03_Hybrid_RAG/qdrant_hybrid.ipynb
- Sentence Window RAG:
- Overview: RAG/04_Sentence_Window_RAG/README.md
- Implementation: RAG/04_Sentence_Window_RAG/Sentence_window_retrieval.ipynb
- Auto Merging RAG:
- Overview: RAG/05_Auto_Merging_RAG/README.md
- Implementation: RAG/05_Auto_Merging_RAG/Auto-merging_Retrieval.ipynb
- HyDE RAG:
- Overview: RAG/06_HyDE_RAG/README.md
- Implementation: RAG/06_HyDE_RAG/HyDEQueryTransformDemo.ipynb
- Query Transformation RAG:
- Overview: RAG/06_Query_Transformation_RAG/README.md
- Implementation: RAG/06_Query_Transformation_RAG/query_transform_cookbook.ipynb
- Self Query RAG:
- Overview: RAG/07_Self_Query_RAG/README.md
- Implementation: RAG/07_Self_Query_RAG/Self_Query_RAG.ipynb
- RAG Fusion:
- Overview: RAG/08_RAG_Fusion/README.md
- Implementation: RAG/08_RAG_Fusion/ragfusion.ipynb
- RAPTOR:
- Overview: RAG/09_RAPTOR/README.md
- Implementation: RAG/09_RAPTOR/raptor.ipynb
- ColBERT RAG:
- Overview: RAG/10_ColBERT_RAG/README.md
- Implementation: RAG/10_ColBERT_RAG/ColBert_RAG.ipynb
- Ragatouille Retriever: RAG/10_ColBERT_RAG/ragatouille_retriever.ipynb
- Graph RAG:
- Overview: RAG/11_Graph_RAG/README.md
- Implementation: RAG/11_Graph_RAG/GraphRAG_v1.ipynb
- Agentic RAG:
- Overview: RAG/12_Agnetic_RAG/README.md
- Implementation: RAG/12_Agnetic_RAG/multi_document_agents.ipynb
- Vision RAG:
- Implementation: RAG/13_Vision_RAG/gpt4v_multi_modal_retrieval.ipynb
- LLM:
- Introduction: Finetuning/README.md
- LLM:
- Gemma:
- Overview: LLM/Gemma/README.md
- Implementation: LLM/Gemma/Gemma_finetuning_notebook.ipynb
- Llama2:
- Overview: LLM/LLama2/README.md
- Implementation: LLM/LLama2/Llama2_finetuning_notebook.ipynb
- QLora: LLM/LLama2/Llama_2_Fine_Tuning_using_QLora.ipynb
- Llama3: LLM/Llama3_finetuning_notebook.ipynb
- Mistral:
- Overview: LLM/Mistral-7b/README.md
- Implementation: LLM/Mistral-7b/Mistral_finetuning_notebook.ipynb
- Evaluation: LLM/Mistral-7b/LLM_evaluation_harness_for_Arc_Easy_and_SST.ipynb
- DPO Fine-tuning: LLM/Mistral-7b/notebooks_DPO_fine_tuning.ipynb
- SFT Trainer: LLM/Mistral-7b/notebooks_SFTTrainer TRL.ipynb
- ChatML Inference: LLM/Mistral-7b/notebooks_chatml_inference.ipynb
- Mixtral: LLM/Mixtral/Mixtral_fine_tuning.ipynb
- VLM:
- Florence2: LLM/VLM/Florence2_finetuning_notebook.ipynb
- PaliGemma: LLM/VLM/PaliGemma_finetuning_notebook.ipynb
- LLM Architecture:
- Lora Explained: LLM/LLMArchitecture/LoraExplained/README.md
- Parameter Count: LLM/LLMArchitecture/ParameterCount.ipynb
- Introduction: LLM/README.md
- LLM:
- Gemma:
- Overview: LLM/Gemma/README.md
- Implementation: LLM/Gemma/Gemma_finetuning_notebook.ipynb
- Llama2:
- Overview: LLM/LLama2/README.md
- Implementation: LLM/LLama2/Llama2_finetuning_notebook.ipynb
- QLora: LLM/LLama2/Llama_2_Fine_Tuning_using_QLora.ipynb
- Llama3: LLM/Llama3_finetuning_notebook.ipynb
- Mistral:
- Overview: LLM/Mistral-7b/README.md
- Implementation: LLM/Mistral-7b/Mistral_finetuning_notebook.ipynb
- Evaluation: LLM/Mistral-7b/LLM_evaluation_harness_for_Arc_Easy_and_SST.ipynb
- DPO Fine-tuning: LLM/Mistral-7b/notebooks_DPO_fine_tuning.ipynb
- SFT Trainer: LLM/Mistral-7b/notebooks_SFTTrainer TRL.ipynb
- ChatML Inference: LLM/Mistral-7b/notebooks_chatml_inference.ipynb
- Mixtral: LLM/Mixtral/Mixtral_fine_tuning.ipynb
- VLM:
- Florence2: LLM/VLM/Florence2_finetuning_notebook.ipynb
- PaliGemma: LLM/VLM/PaliGemma_finetuning_notebook.ipynb
- LLM Architecture:
- Lora Explained: LLM/LLMArchitecture/LoraExplained/README.md
- Parameter Count: LLM/LLMArchitecture/ParameterCount.ipynb
- Deployment:
- Introduction: Deployment/README.md
- Deploy LLM:
- Overview: Deployment/DeployLLM/README.md
- Quantization:
- AWQ: Deployment/Quantization/AWQ_Quantization.ipynb
- GGUF: Deployment/Quantization/GGUF_Quantization.ipynb
- Introduction: Deployment/README.md
- Deploy LLM:
- Overview: Deployment/DeployLLM/README.md
- Quantization:
- AWQ: Deployment/Quantization/AWQ_Quantization.ipynb
- GGUF: Deployment/Quantization/GGUF_Quantization.ipynb
- Projects:
- Introduction: Projects/README.md
- YouTube Clones:
- Overview: Projects/YT_Clones/README.md
- Fireship Clone: Projects/YT_Clones/Fireship_clone.ipynb
- Dataset Preparation: Projects/YT_Clones/dataset_prep.ipynb
- Introduction: Projects/README.md
- YouTube Clones:
- Overview: Projects/YT_Clones/README.md
- Fireship Clone: Projects/YT_Clones/Fireship_clone.ipynb
- Dataset Preparation: Projects/YT_Clones/dataset_prep.ipynb
- Agents:
- Overview: Agents/README.md
- Multi-document Agents: Agents/multi_document_agents.ipynb
- Overview: Agents/README.md
- Multi-document Agents: Agents/multi_document_agents.ipynb

extra:
social:
Expand All @@ -198,4 +202,4 @@ extra_javascript:
- https://unpkg.com/[email protected]/dist/mermaid.min.js

extra_css:
- css/extra.css
- css/extra.css

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