lance

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Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

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Chapter: README (docs/README.md)

Lance Documentation

This directory contains the documentation for Lance, built with MkDocs and a
custom theme (theme/) implementing the Lance Docs design.

Getting Started with uv

Setup

1. Install uv if you haven't already:

bash
curl -LsSf https://astral.sh/uv/install.sh | sh

2. That's it! No manual dependency installation needed.

Building Documentation

To build and serve the documentation locally:

bash
make serve

The documentation will be available at http://localhost:8000

Building for Production

bash
make build

This will create a site/ directory with the built documentation.

Managing Dependencies

#### Adding Dependencies

bash

Add a dependency and update pyproject.toml


uv add <package>

Add a dev dependency


uv add --dev <package>

#### Manual Sync (if needed)

bash
make sync

#### Upgrading Dependencies

bash

Upgrade a specific package


uv add <package>@latest

Upgrade all dependencies


uv sync --upgrade

Project Structure

- src/ - Source markdown files for documentation
- theme/ - Custom MkDocs theme implementing the Lance Docs design
(templates in *.html, styles/behaviour in theme/assets/)
- mkdocs.yml - MkDocs configuration
- pyproject.toml - Python project configuration (uv compatible)

Theme Notes

- Light/dark mode follows prefers-color-scheme, is toggleable from the
header, and persists in localStorage (ld-theme).
- The GitHub star count is fetched from the public GitHub API and cached in
localStorage for an hour; the button degrades to a plain link offline.
- Search is a lightweight overlay (/ or Cmd/Ctrl+K) over the standard
search plugin index — no external search dependencies.
- Mermaid diagrams render client-side; the library is loaded from a CDN only
on pages that contain a diagram.