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Remote Python `drop_function` currently discards the dependent-view warnings returned by SQL DROP. Both the synchronous and coroutine APIs now emit those warnings through `warnings.warn` while preserving their boolean result and executing DROP once. The server support is already merged in lancedb/sophon#9820. The Rust decoder reads warnings across every result batch, including an empty first batch. Missing warning columns remain compatible with older servers; malformed or null warning lists are rejected. The hidden binding bridge carries the warnings to Python. The separate `drop_function_async` API and its `(bool, Job)` contract are unchanged. Python warning filters can raise after the catalog mutation has completed. Validation: a compiled PyO3/public-server reproduction failed before the fix and passed afterward; the public async path also returned `true` with the expected dependent-view warning. Final source passes two focused Rust tests, two Python wrapper tests, strict targeted Clippy, formatting, and Ruff. Three decoder tests cover batch/null/type and older-server behavior. The public runs preceded a two-file simplification of the completed Job projection; focused final-source checks cover that delta. Current-main integration is conflict-free, and its overlapping changes concern independent retry-policy APIs/tests. Documentation now covers warning filters, the post-removal warnings-as-errors behavior, and silent compatibility with older servers. The follow-up changes only prose and a Python docstring; the runtime validation above remains applicable. Refs ENT-3659. Whole-issue independent acceptance remains pending.
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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