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lancedb-gatefixer[bot]
e5d4e9bf6e
Fixes #4749 Python's `__version__` forwards Cargo's SemVer spelling, so prereleases report values such as `0.41.0-beta.17` while the installed package metadata reports `0.41.0b17`. Normalize the native version with the existing `packaging.version.Version` dependency before exposing it in Python. Keep native version sourcing so imports still work with `lancedb-compat` and do not require distribution metadata. Regression tests cover metadata equality and stable, alpha, beta, release-candidate, and development versions with metadata lookups disabled. Validation: - Rebuilt the native extension through the uv-managed development environment. - Confirmed the metadata regression fails on the original code with the reported string mismatch. - Import tests, package metadata tests, the remote client user-agent test, and CI Python dependency tests: 14 passed, 2 skipped (Windows-only wheel check and uninstalled `lancedb-compat`). - macOS ARM64/Python 3.13 dependency resolution and `uv lock --check` pass with the platform-specific test dependency pins from current `main`. - Python-tree Ruff lint and formatting checks, focused Pyright check, Rust formatting, and PR diff whitespace checks pass. - Repository-wide Ruff lint reports existing findings in unchanged `docs/web-tests` files. <!-- lance-gatekeeper-fix:v1 agent=3e23555743cc116ea53ca8a7e3c4ebb1 generation=1 --> Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
The Multimodal Lakehouse for AI
How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors
The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
Demo: Multimodal Search by Keyword, Vector or with SQL
Star LanceDB to get updates!
⭐ Click here ⭐ to see how fast we're growing!
Key Features:
- Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
- Comprehensive Search: Support for vector similarity search, full-text search and SQL.
- Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
- Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Products:
- LanceDB Embedded (open source): 100% open source, runs in your application's process; your data can live on local disk or in object storage. No vendor lock-in.
- LanceDB Enterprise: Production-scale distributed search, indexing, and maintenance. Plus, complete data sovereignty and security.
Ecosystem:
- Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
- Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
- Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
How to Install:
Follow the Quickstart doc to set up LanceDB locally.
API & SDK: We also support Python, Typescript and Rust SDKs
| Interface | Documentation |
|---|---|
| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
| REST API | https://docs.lancedb.com/api-reference/rest |
Join Us and Contribute
We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.
If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.
Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.
Contributors
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