site_name: LanceDB
site_url: https://lancedb.github.io/lancedb/
repo_url: https://github.com/lancedb/lancedb
edit_uri: https://github.com/lancedb/lancedb/tree/main/docs/src
repo_name: lancedb/lancedb
docs_dir: src

theme:
  name: "material"
  logo: assets/logo.png
  favicon: assets/logo.png
  palette:
    # Palette toggle for light mode
    - scheme: lancedb
      primary: custom
      toggle:
        icon: material/weather-night
        name: Switch to dark mode
    # Palette toggle for dark mode
    - scheme: slate
      primary: custom
      toggle:
        icon: material/weather-sunny
        name: Switch to light mode
  features:
    - content.code.copy
    - content.tabs.link
    - content.action.edit
    - toc.follow
    - navigation.top
    - navigation.tabs
    - navigation.tabs.sticky
    - navigation.footer
    - navigation.tracking
    - navigation.instant
  icon:
    repo: fontawesome/brands/github
  custom_dir: overrides

plugins:
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  - autorefs
  - mkdocstrings:
      handlers:
        python:
          paths: [../python]
          options:
            docstring_style: numpy
            heading_level: 3
            show_source: true
            show_symbol_type_in_heading: true
            show_signature_annotations: true
            show_root_heading: true
            members_order: source
          import:
            # for cross references
            - https://arrow.apache.org/docs/objects.inv
            - https://pandas.pydata.org/docs/objects.inv
  - mkdocs-jupyter

markdown_extensions:
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  - footnotes
  - pymdownx.details
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      line_spans: __span
      pygments_lang_class: true
  - pymdownx.inlinehilite
  - pymdownx.snippets:
      base_path: ..
      dedent_subsections: true
  - pymdownx.superfences
  - pymdownx.tabbed:
      alternate_style: true
  - md_in_html
  - attr_list

nav:
  - Home:
      - LanceDB: index.md
      - 🏃🏼‍♂️ Quick start: basic.md
      - 📚 Concepts:
          - Vector search: concepts/vector_search.md
          - Indexing: concepts/index_ivfpq.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: fts.md
          - Hybrid search:
              - Overview: hybrid_search/hybrid_search.md
              - Comparing Rerankers: hybrid_search/eval.md
              - Airbnb financial data example: notebooks/hybrid_search.ipynb
          - Reranking:
              - Quickstart: reranking/index.md
              - Cohere Reranker: reranking/cohere.md
              - Linear Combination Reranker: reranking/linear_combination.md
              - Cross Encoder Reranker: reranking/cross_encoder.md
              - ColBERT Reranker: reranking/colbert.md
              - OpenAI Reranker: reranking/openai.md
              - Building Custom Rerankers: reranking/custom_reranker.md
          - Filtering: sql.md
          - Versioning & Reproducibility: notebooks/reproducibility.ipynb
          - Configuring Storage: guides/storage.md
          - Sync -> Async 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
      - 🧬 Managing embeddings:
          - Overview: embeddings/index.md
          - Embedding functions: embeddings/embedding_functions.md
          - Available models: embeddings/default_embedding_functions.md
          - User-defined embedding functions: embeddings/custom_embedding_function.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 JS/TS 🔗: https://js.langchain.com/docs/integrations/vectorstores/lancedb
          - LlamaIndex 🦙:
            - LlamaIndex docs: integrations/llamaIndex.md
            - LlamaIndex demo:  https://docs.llamaindex.ai/en/stable/examples/vector_stores/LanceDBIndexDemo/
          - Pydantic: python/pydantic.md
          - Voxel51: integrations/voxel51.md
          - PromptTools: integrations/prompttools.md
      - 🎯 Examples:
          - Overview: examples/index.md
          - 🐍 Python:
              - Overview: examples/examples_python.md
              - YouTube Transcript Search: notebooks/youtube_transcript_search.ipynb
              - Documentation QA Bot using LangChain: notebooks/code_qa_bot.ipynb
              - Multimodal search using CLIP: notebooks/multimodal_search.ipynb
              - Example - Calculate CLIP Embeddings with Roboflow Inference: examples/image_embeddings_roboflow.md
              - 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
      - 💭 FAQs: faq.md
      - ⚙️ API reference:
          - 🐍 Python: python/python.md
          - 👾 JavaScript (vectordb): javascript/modules.md
          - 👾 JavaScript (lancedb): javascript/modules.md
          - 🦀 Rust: https://docs.rs/lancedb/latest/lancedb/
      - ☁️ LanceDB Cloud:
          - Overview: cloud/index.md
          - API reference:
              - 🐍 Python: python/saas-python.md
              - 👾 JavaScript: javascript/modules.md

  - Quick start: basic.md
  - Concepts:
      - Vector search: concepts/vector_search.md
      - Indexing: concepts/index_ivfpq.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: fts.md
      - Hybrid search:
          - Overview: hybrid_search/hybrid_search.md
          - Comparing Rerankers: hybrid_search/eval.md
          - Airbnb financial data example: notebooks/hybrid_search.ipynb
      - Reranking:
          - Quickstart: reranking/index.md
          - Cohere Reranker: reranking/cohere.md
          - Linear Combination Reranker: reranking/linear_combination.md
          - Cross Encoder Reranker: reranking/cross_encoder.md
          - ColBERT Reranker: reranking/colbert.md
          - OpenAI Reranker: reranking/openai.md
          - Building Custom Rerankers: reranking/custom_reranker.md
      - Filtering: sql.md
      - Versioning & Reproducibility: notebooks/reproducibility.ipynb
      - Configuring Storage: guides/storage.md
      - Sync -> Async 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
  - Managing Embeddings:
      - Overview: embeddings/index.md
      - Embedding functions: embeddings/embedding_functions.md
      - Available models: embeddings/default_embedding_functions.md
      - User-defined embedding functions: embeddings/custom_embedding_function.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 🦜️🔗↗: https://python.langchain.com/docs/integrations/vectorstores/lancedb
      - LangChain.js 🦜️🔗↗: https://js.langchain.com/docs/integrations/vectorstores/lancedb
      - LlamaIndex 🦙↗: https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/LanceDBIndexDemo.html
      - Pydantic: python/pydantic.md
      - Voxel51: integrations/voxel51.md
      - PromptTools: integrations/prompttools.md
  - Examples:
      - examples/index.md
      - YouTube Transcript Search: notebooks/youtube_transcript_search.ipynb
      - Documentation QA Bot using LangChain: notebooks/code_qa_bot.ipynb
      - Multimodal search using CLIP: notebooks/multimodal_search.ipynb
      - 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
      - YouTube Transcript Search (JS): examples/youtube_transcript_bot_with_nodejs.md
      - Serverless Chatbot from any website: examples/serverless_website_chatbot.md
      - TransformersJS Embedding Search: examples/transformerjs_embedding_search_nodejs.md
  - API reference:
      - Overview: api_reference.md
      - Python: python/python.md
      - Javascript (vectordb): javascript/modules.md
      - Javascript (lancedb): js/modules.md
      - Rust: https://docs.rs/lancedb/latest/lancedb/index.html
  - LanceDB Cloud:
      - Overview: cloud/index.md
      - API reference:
          - 🐍 Python: python/saas-python.md
          - 👾 JavaScript: javascript/modules.md

extra_css:
  - styles/global.css
  - styles/extra.css

extra_javascript:
  - "extra_js/init_ask_ai_widget.js"

extra:
  analytics:
    provider: google
    property: G-B7NFM40W74
  social:
    - icon: fontawesome/brands/github
      link: https://github.com/lancedb/lancedb
    - icon: fontawesome/brands/x-twitter
      link: https://twitter.com/lancedb
    - icon: fontawesome/brands/linkedin
      link: https://www.linkedin.com/company/lancedb