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## Summary Adds an optional `max_concurrency` setting to Function registration and explicit refresh: - A registered Function version can define the default maximum number of user-code calls in flight for one logical execution. - A refresh can override that default for that execution only. - The value must be a positive `u32` and is independent from `resource_budget`; it is not an account-wide quota. - Omitting the option preserves the previous request payload. Local embedded refreshes reject this Enterprise-only option. Rust, Python sync/async, PyO3, and the existing Node refresh surface forward the option. Node has no Function registration surface today, so no registration API is added there. The generated TypeDoc pages are included for the new public option. ## Validation The native-tested source covers Function version decoding, registration validation and serialization, the Flight SQL registration ticket and returned version, remote refresh forwarding, local rejection, and Node's numeric boundary before conversion. Exact stage results are Rust `1+3` plus four remote cases at `1` each; Python `14/1/49/24`; Node `57` remote and `1` local rejection. Ruff, standard repository Pyright, and Biome passed. The tested Python extension was `21aa256a970f4a16ea8253d68401d0fc573d946412e8752155dfcad63f30654d`; the tested Node addon and generated native declaration were `f6089f861981f96f8ce0f6dbef43de0907b9eeb4b63e84cdd5da14e00d6cbd30` and `4c4ceb205824075d706897c726c215dcf839880c757f0d0582d24cec5f938416`. The final 24-file diff preserves the 22 tested product/test/fixture/source-doc blobs and adds only two generated TypeDoc pages.
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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