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lancedb-gatefixer[bot]
b460989753
`MatchQuery(..., fuzziness=None)` raised a Pydantic validation error before a search could run because the field accepted only integers. Allow `Optional[int]`, retain the exact-match default of `0`, and make the documented parameter type explicit. The existing Rust binding already accepts and serializes the optional value. Regression coverage checks construction and JSON serialization for `None`, `0`, `1`, and `2`, plus native indexed searches with the default, explicit exact matching, automatic mode, and one- and two-edit controls. The two `None` regressions reproduced the original constructor error before the fix. Validation against the source-built extension in the locked uv environment: - `uv run --extra tests --extra dev maturin develop --extras tests,dev` - `uv run --no-sync --extra tests --extra dev pytest python/tests/test_fts.py -k 'match_query_fuzziness or fts_query_to_json' -q` — 10 passed. - `uv run --no-sync --extra tests --extra dev pytest python/tests/test_fts.py -q --disable-warnings` — 61 passed. - Locked-environment `ruff check .`, `ruff format .`, and `git diff --check` passed. The reported engine limitation remains observable with pinned Lance `14.0.0-beta.1`: its dataset planner compatibility gate rewrites `None` to zero, so a five-character AUTO query still omits one-edit matches. Automatic expansion for longer terms requires upstream Lance activation. The native acceptance regression uses a two-character term, whose documented automatic distance is zero, while the JSON regression verifies that Python forwards `None` as `null`. This keeps the repair within the issue's requested Python constructor scope. Fixes #4466 <!-- lance-gatekeeper-fix:v1 agent=f5f78166a4f0c7433e7890792b729c3d 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
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⭐ 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
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