site_name: LanceDB
site_url: https://lancedb.github.io/lancedb/
repo_url: https://github.com/lancedb/lancedb
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nav:
  - Home:
      - LanceDB: index.md
      - 🏃🏼‍♂️ Quick start: basic.md
      - 📚 Concepts:
          - Vector search: concepts/vector_search.md
          - Indexing:
              - IVFPQ: concepts/index_ivfpq.md
              - HNSW: concepts/index_hnsw.md
          - Storage: concepts/storage.md
          - Data management: concepts/data_management.md
      - 🔨 Guides:
          - Working with tables: guides/tables.md
          - Building a vector index: ann_indexes.md
          - Vector Search: search.md
          - Full-text search (native): fts.md
          - Full-text search (tantivy-based): fts_tantivy.md
          - Building a scalar index: guides/scalar_index.md
          - Hybrid search:
              - Overview: hybrid_search/hybrid_search.md
              - Comparing Rerankers: hybrid_search/eval.md
              - Airbnb financial data example: notebooks/hybrid_search.ipynb
          - Late interaction with MultiVector search:
              - Overview: guides/multi-vector.md
              - Example: notebooks/Multivector_on_LanceDB.ipynb
          - RAG:
              - Vanilla RAG: rag/vanilla_rag.md
              - Multi-head RAG: rag/multi_head_rag.md
              - Corrective RAG: rag/corrective_rag.md
              - Agentic RAG: rag/agentic_rag.md
              - Graph RAG: rag/graph_rag.md
              - Self RAG: rag/self_rag.md
              - Adaptive RAG: rag/adaptive_rag.md
              - SFR RAG: rag/sfr_rag.md
              - Advanced Techniques:
                  - HyDE: rag/advanced_techniques/hyde.md
                  - FLARE: rag/advanced_techniques/flare.md
          - Reranking:
              - Quickstart: reranking/index.md
              - Cohere Reranker: reranking/cohere.md
              - Linear Combination Reranker: reranking/linear_combination.md
              - Reciprocal Rank Fusion Reranker: reranking/rrf.md
              - Cross Encoder Reranker: reranking/cross_encoder.md
              - ColBERT Reranker: reranking/colbert.md
              - Jina Reranker: reranking/jina.md
              - OpenAI Reranker: reranking/openai.md
              - AnswerDotAi Rerankers: reranking/answerdotai.md
              - Voyage AI Rerankers: reranking/voyageai.md
              - Building Custom Rerankers: reranking/custom_reranker.md
              - Example: notebooks/lancedb_reranking.ipynb
          - Filtering: sql.md
          - Versioning & Reproducibility:
              - sync API: notebooks/reproducibility.ipynb
              - async API: notebooks/reproducibility_async.ipynb
          - Configuring Storage: guides/storage.md
          - Migration Guide: migration.md
          - Tuning retrieval performance:
              - Choosing right query type: guides/tuning_retrievers/1_query_types.md
              - Reranking: guides/tuning_retrievers/2_reranking.md
              - Embedding fine-tuning: guides/tuning_retrievers/3_embed_tuning.md
      - 🧬 Managing embeddings:
          - Understand Embeddings: embeddings/understanding_embeddings.md
          - Get Started: embeddings/index.md
          - Embedding functions: embeddings/embedding_functions.md
          - Available models:
              - Overview: embeddings/default_embedding_functions.md
              - Text Embedding Functions:
                  - Sentence Transformers: embeddings/available_embedding_models/text_embedding_functions/sentence_transformers.md
                  - Huggingface Embedding Models: embeddings/available_embedding_models/text_embedding_functions/huggingface_embedding.md
                  - Ollama Embeddings: embeddings/available_embedding_models/text_embedding_functions/ollama_embedding.md
                  - OpenAI Embeddings: embeddings/available_embedding_models/text_embedding_functions/openai_embedding.md
                  - Instructor Embeddings: embeddings/available_embedding_models/text_embedding_functions/instructor_embedding.md
                  - Gemini Embeddings: embeddings/available_embedding_models/text_embedding_functions/gemini_embedding.md
                  - Cohere Embeddings: embeddings/available_embedding_models/text_embedding_functions/cohere_embedding.md
                  - Jina Embeddings: embeddings/available_embedding_models/text_embedding_functions/jina_embedding.md
                  - AWS Bedrock Text Embedding Functions: embeddings/available_embedding_models/text_embedding_functions/aws_bedrock_embedding.md
                  - IBM watsonx.ai Embeddings: embeddings/available_embedding_models/text_embedding_functions/ibm_watsonx_ai_embedding.md
                  - Voyage AI Embeddings: embeddings/available_embedding_models/text_embedding_functions/voyageai_embedding.md
              - Multimodal Embedding Functions:
                  - OpenClip embeddings: embeddings/available_embedding_models/multimodal_embedding_functions/openclip_embedding.md
                  - Imagebind embeddings: embeddings/available_embedding_models/multimodal_embedding_functions/imagebind_embedding.md
                  - Jina Embeddings: embeddings/available_embedding_models/multimodal_embedding_functions/jina_multimodal_embedding.md
          - User-defined embedding functions: embeddings/custom_embedding_function.md
          - Variables and secrets: embeddings/variables_and_secrets.md
          - "Example: Multi-lingual semantic search": notebooks/multi_lingual_example.ipynb
          - "Example: MultiModal CLIP Embeddings": notebooks/DisappearingEmbeddingFunction.ipynb
      - 🔌 Integrations:
          - Tools and data formats: integrations/index.md
          - Pandas and PyArrow: python/pandas_and_pyarrow.md
          - Polars: python/polars_arrow.md
          - DuckDB: python/duckdb.md
          - LangChain:
              - LangChain 🔗: integrations/langchain.md
              - LangChain demo: notebooks/langchain_demo.ipynb
              - LangChain JS/TS 🔗: https://js.langchain.com/docs/integrations/vectorstores/lancedb
          - LlamaIndex 🦙:
              - LlamaIndex docs: integrations/llamaIndex.md
              - LlamaIndex demo: notebooks/llamaIndex_demo.ipynb
          - Pydantic: python/pydantic.md
          - Voxel51: integrations/voxel51.md
          - PromptTools: integrations/prompttools.md
          - dlt: integrations/dlt.md
          - phidata: integrations/phidata.md
      - 🎯 Examples:
          - Overview: examples/index.md
          - 🐍 Python:
              - Overview: examples/examples_python.md
              - Build From Scratch: examples/python_examples/build_from_scratch.md
              - Multimodal: examples/python_examples/multimodal.md
              - Rag: examples/python_examples/rag.md
              - Vector Search: examples/python_examples/vector_search.md
              - Chatbot: examples/python_examples/chatbot.md
              - Evaluation: examples/python_examples/evaluations.md
              - AI Agent: examples/python_examples/aiagent.md
              - Recommender System: examples/python_examples/recommendersystem.md
              - Miscellaneous:
                  - Serverless QA Bot with S3 and Lambda: examples/serverless_lancedb_with_s3_and_lambda.md
                  - Serverless QA Bot with Modal: examples/serverless_qa_bot_with_modal_and_langchain.md
          - 👾 JavaScript:
              - Overview: examples/examples_js.md
              - Serverless Website Chatbot: examples/serverless_website_chatbot.md
              - YouTube Transcript Search: examples/youtube_transcript_bot_with_nodejs.md
              - TransformersJS Embedding Search: examples/transformerjs_embedding_search_nodejs.md
          - 🦀 Rust:
              - Overview: examples/examples_rust.md
      - 📓 Studies:
          - ↗Improve retrievers with hybrid search and reranking: https://blog.lancedb.com/hybrid-search-and-reranking-report/
      - 💭 FAQs: faq.md
      - 🔍 Troubleshooting: troubleshooting.md
      - ⚙️ API reference:
          - 🐍 Python: python/python.md
          - 👾 JavaScript (vectordb): javascript/modules.md
          - 👾 JavaScript (lancedb): js/globals.md
          - 🦀 Rust: https://docs.rs/lancedb/latest/lancedb/

  - Quick start: basic.md
  - Concepts:
      - Vector search: concepts/vector_search.md
      - Indexing:
          - IVFPQ: concepts/index_ivfpq.md
          - HNSW: concepts/index_hnsw.md
      - Storage: concepts/storage.md
      - Data management: concepts/data_management.md
  - Guides:
      - Working with tables: guides/tables.md
      - Building an ANN index: ann_indexes.md
      - Vector Search: search.md
      - Full-text search (native): fts.md
      - Full-text search (tantivy-based): fts_tantivy.md
      - Building a scalar index: guides/scalar_index.md
      - Hybrid search:
          - Overview: hybrid_search/hybrid_search.md
          - Comparing Rerankers: hybrid_search/eval.md
          - Airbnb financial data example: notebooks/hybrid_search.ipynb
      - Late interaction with MultiVector search:
          - Overview: guides/multi-vector.md
          - Document search Example: notebooks/Multivector_on_LanceDB.ipynb
      - RAG:
          - Vanilla RAG: rag/vanilla_rag.md
          - Multi-head RAG: rag/multi_head_rag.md
          - Corrective RAG: rag/corrective_rag.md
          - Agentic RAG: rag/agentic_rag.md
          - Graph RAG: rag/graph_rag.md
          - Self RAG: rag/self_rag.md
          - Adaptive RAG: rag/adaptive_rag.md
          - SFR RAG: rag/sfr_rag.md
          - Advanced Techniques:
              - HyDE: rag/advanced_techniques/hyde.md
              - FLARE: rag/advanced_techniques/flare.md
      - Reranking:
          - Quickstart: reranking/index.md
          - Cohere Reranker: reranking/cohere.md
          - Linear Combination Reranker: reranking/linear_combination.md
          - Reciprocal Rank Fusion Reranker: reranking/rrf.md
          - Cross Encoder Reranker: reranking/cross_encoder.md
          - ColBERT Reranker: reranking/colbert.md
          - Jina Reranker: reranking/jina.md
          - OpenAI Reranker: reranking/openai.md
          - AnswerDotAi Rerankers: reranking/answerdotai.md
          - Building Custom Rerankers: reranking/custom_reranker.md
          - Example: notebooks/lancedb_reranking.ipynb
      - Filtering: sql.md
      - Versioning & Reproducibility:
          - sync API: notebooks/reproducibility.ipynb
          - async API: notebooks/reproducibility_async.ipynb
      - Configuring Storage: guides/storage.md
      - Migration Guide: migration.md
      - Tuning retrieval performance:
          - Choosing right query type: guides/tuning_retrievers/1_query_types.md
          - Reranking: guides/tuning_retrievers/2_reranking.md
          - Embedding fine-tuning: guides/tuning_retrievers/3_embed_tuning.md
  - Managing Embeddings:
      - Understand Embeddings: embeddings/understanding_embeddings.md
      - Get Started: embeddings/index.md
      - Embedding functions: embeddings/embedding_functions.md
      - Available models:
          - Overview: embeddings/default_embedding_functions.md
          - Text Embedding Functions:
              - Sentence Transformers: embeddings/available_embedding_models/text_embedding_functions/sentence_transformers.md
              - Huggingface Embedding Models: embeddings/available_embedding_models/text_embedding_functions/huggingface_embedding.md
              - Ollama Embeddings: embeddings/available_embedding_models/text_embedding_functions/ollama_embedding.md
              - OpenAI Embeddings: embeddings/available_embedding_models/text_embedding_functions/openai_embedding.md
              - Instructor Embeddings: embeddings/available_embedding_models/text_embedding_functions/instructor_embedding.md
              - Gemini Embeddings: embeddings/available_embedding_models/text_embedding_functions/gemini_embedding.md
              - Cohere Embeddings: embeddings/available_embedding_models/text_embedding_functions/cohere_embedding.md
              - Jina Embeddings: embeddings/available_embedding_models/text_embedding_functions/jina_embedding.md
              - AWS Bedrock Text Embedding Functions: embeddings/available_embedding_models/text_embedding_functions/aws_bedrock_embedding.md
              - IBM watsonx.ai Embeddings: embeddings/available_embedding_models/text_embedding_functions/ibm_watsonx_ai_embedding.md
          - Multimodal Embedding Functions:
              - OpenClip embeddings: embeddings/available_embedding_models/multimodal_embedding_functions/openclip_embedding.md
              - Imagebind embeddings: embeddings/available_embedding_models/multimodal_embedding_functions/imagebind_embedding.md
              - Jina Embeddings: embeddings/available_embedding_models/multimodal_embedding_functions/jina_multimodal_embedding.md
      - User-defined embedding functions: embeddings/custom_embedding_function.md
      - Variables and secrets: embeddings/variables_and_secrets.md
      - "Example: Multi-lingual semantic search": notebooks/multi_lingual_example.ipynb
      - "Example: MultiModal CLIP Embeddings": notebooks/DisappearingEmbeddingFunction.ipynb
  - Integrations:
      - Overview: integrations/index.md
      - Pandas and PyArrow: python/pandas_and_pyarrow.md
      - Polars: python/polars_arrow.md
      - DuckDB: python/duckdb.md
      - LangChain 🦜️🔗↗: integrations/langchain.md
      - LangChain.js 🦜️🔗↗: https://js.langchain.com/docs/integrations/vectorstores/lancedb
      - LlamaIndex 🦙↗: integrations/llamaIndex.md
      - Pydantic: python/pydantic.md
      - Voxel51: integrations/voxel51.md
      - PromptTools: integrations/prompttools.md
      - dlt: integrations/dlt.md
      - phidata: integrations/phidata.md
  - Examples:
      - examples/index.md
      - 🐍 Python:
          - Overview: examples/examples_python.md
          - Build From Scratch: examples/python_examples/build_from_scratch.md
          - Multimodal: examples/python_examples/multimodal.md
          - Rag: examples/python_examples/rag.md
          - Vector Search: examples/python_examples/vector_search.md
          - Chatbot: examples/python_examples/chatbot.md
          - Evaluation: examples/python_examples/evaluations.md
          - AI Agent: examples/python_examples/aiagent.md
          - Recommender System: examples/python_examples/recommendersystem.md
          - Miscellaneous:
              - Serverless QA Bot with S3 and Lambda: examples/serverless_lancedb_with_s3_and_lambda.md
              - Serverless QA Bot with Modal: examples/serverless_qa_bot_with_modal_and_langchain.md
      - 👾 JavaScript:
          - Overview: examples/examples_js.md
          - Serverless Website Chatbot: examples/serverless_website_chatbot.md
          - YouTube Transcript Search: examples/youtube_transcript_bot_with_nodejs.md
          - TransformersJS Embedding Search: examples/transformerjs_embedding_search_nodejs.md
      - 🦀 Rust:
          - Overview: examples/examples_rust.md
  - Studies:
      - studies/overview.md
      - ↗Improve retrievers with hybrid search and reranking: https://blog.lancedb.com/hybrid-search-and-reranking-report/
  - API reference:
      - Overview: api_reference.md
      - Python: python/python.md
      - Javascript (vectordb): javascript/modules.md
      - Javascript (lancedb): js/globals.md
      - Rust: https://docs.rs/lancedb/latest/lancedb/index.html

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