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Will JonesandClaude Opus 5.5
eabec507a8
## Summary The Python wheel builds used different protoc versions: v24.4 on Linux, v21.12 on Windows, and whatever Homebrew shipped on macOS. None of them verified the download. A new composite action, `.github/actions/setup-protoc`, now holds one pin, v36.2, with a SHA-256 for each platform's zip. - macOS and Windows: the action downloads protoc, checks its hash, and installs it. - Linux: protoc has to be installed inside the manylinux container, so the build reads the version and hash from the action's outputs and checks the hash there. protobuf does not publish checksum files for protoc. The pinned hashes are the digests GitHub recorded for the v36.2 release assets. Older releases such as v24.4 have none, which is why this moves to v36.2. protoc only runs at build time, through `prost-build` in the Lance crates. The Linux protoc binary is statically linked, so it runs in the manylinux 2_17 container. The action is also added to the path triggers of `pypi-publish.yml` and `python.yml`, so a change to the pin runs the wheel builds. Follow-up to https://github.com/lancedb/lancedb/pull/4522#issuecomment-6160848344. The sdist job in that PR can use the same action once this merges. ## Evidence Running the action's install script locally on linux-aarch_64 installs `libprotoc 36.2`, and a wrong hash fails with `protoc checksum mismatch`. `cargo check -p lancedb` with `PROTOC` set to protoc 36.2 builds the Lance protos. The PyPI Publish dry run on this PR covers the Linux, macOS and Windows builds. ## Merge Risk **Door:** Two-way. CI only. **Blast Radius:** Python wheel builds. 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 5.5 <noreply@anthropic.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:
- Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
- Cloud and Enterprise: Production-scale vector search with no servers to manage. 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
Stay in Touch With Us