Files
lancedb/docs/mkdocs.yml
Lei Xu d811b89de2 doc: use code snippet for typescript examples (#880)
The typescript code is in a fully function file, that will be run via the CI.
2024-04-05 16:28:56 -07:00

203 lines
7.4 KiB
YAML

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
# - toc.integrate
- navigation.top
- navigation.tabs
- navigation.tabs.sticky
- navigation.footer
- navigation.tracking
- navigation.instant
icon:
repo: fontawesome/brands/github
custom_dir: overrides
plugins:
- search
- autorefs
- mkdocstrings:
handlers:
python:
paths: [../python]
options:
docstring_style: numpy
heading_level: 4
show_source: true
show_symbol_type_in_heading: true
show_signature_annotations: 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:
- admonition
- footnotes
- pymdownx.details
- pymdownx.highlight:
anchor_linenums: true
line_spans: __span
pygments_lang_class: true
- pymdownx.inlinehilite
- pymdownx.snippets:
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
- Filtering: sql.md
- Versioning & Reproducibility: notebooks/reproducibility.ipynb
- Configuring Storage: guides/storage.md
- 🧬 Managing embeddings:
- Overview: embeddings/index.md
- Explicit management: embeddings/embedding_explicit.md
- Implicit management: embeddings/embedding_functions.md
- Available Functions: embeddings/default_embedding_functions.md
- Custom Embedding Functions: embeddings/api.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 🔗: https://python.langchain.com/en/latest/modules/indexes/vectorstores/examples/lancedb.html
- LangChain JS/TS 🔗: https://js.langchain.com/docs/modules/data_connection/vectorstores/integrations/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:
- 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
- 💭 FAQs: faq.md
- ⚙️ API reference:
- 🐍 Python: python/python.md
- 👾 JavaScript: javascript/modules.md
- 🦀 Rust: https://docs.rs/vectordb/latest/vectordb/
- ☁️ LanceDB Cloud:
- Overview: cloud/index.md
- API reference:
- 🐍 Python: python/saas-python.md
- 👾 JavaScript: javascript/saas-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
- Filtering: sql.md
- Versioning & Reproducibility: notebooks/reproducibility.ipynb
- Configuring Storage: guides/storage.md
- Managing Embeddings:
- Overview: embeddings/index.md
- Explicit management: embeddings/embedding_explicit.md
- Implicit management: embeddings/embedding_functions.md
- Available Functions: embeddings/default_embedding_functions.md
- Custom Embedding Functions: embeddings/api.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/en/latest/modules/indexes/vectorstores/examples/lancedb.html
- LangChain.js 🦜️🔗↗: https://js.langchain.com/docs/modules/data_connection/vectorstores/integrations/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
- Python 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
- Javascript examples:
- Overview: examples/examples_js.md
- YouTube Transcript Search: 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:
- Python: python/python.md
- Javascript: javascript/modules.md
- LanceDB Cloud:
- Overview: cloud/index.md
- API reference:
- 🐍 Python: python/saas-python.md
- 👾 JavaScript: javascript/saas-modules.md
extra_css:
- styles/global.css
- styles/extra.css
extra:
analytics:
provider: google
property: G-B7NFM40W74