mirror of
https://github.com/lancedb/lancedb.git
synced 2026-11-13 14:16:54 +00:00
Yang Cen
bd8cbfd4f2
Update the Rust workspace Lance crates and Python test dependency to [Lance v15.0.0-beta.14](https://github.com/lance-format/lance/releases/tag/v15.0.0-beta.14), which includes JSON cache reuse across request stores and stable-row-ID JSON index support. The Python lock contains all seven published wheels. The independent Java module retains beta.8, as in the previous beta.13 update; its separate beta.14 publisher repair is outside this Rust consumer upgrade. Preserve all CI coverage while reclaiming completed workspace lancedb artifacts before the package-level feature-test build, which otherwise exhausted the Linux runner disk. Give only the Linux ARM64 release-wheel job two hours after its one-hour timeout, retaining the same runner, fat-LTO release profile and build flags. Validation: 2,280 Rust tests passed (79 existing ignores), strict workspace/all-feature Clippy, Rust formatting, and remote example checks passed on unchanged Rust source and dependency lock. Python dependency guards, lock validation, locked sync, and the published macOS wheel import passed. The new Windows ARM64 wheel was downloaded and its SHA-256 verified. Workflow YAML/shell checks and independent review passed. Root Python Ruff/format checks still fail on unchanged documentation examples; no suppressions or unrelated cleanup were added. The CI repairs require a complete new run before readiness. This dependency update does not establish corrected Sophon performance; downstream native acceptance and the paired S3 replay remain separate.
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
Stay in Touch With Us