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lancedb-gatefixer[bot]
ae81d73563
<!-- lance-gatekeeper-fix:v1 agent=d30696bc46eb32f04c9927b0792e35d3 generation=1 --> ## Summary - use the Lance native batch KNN path so fixed-size batch vector searches share one flat table scan - validate consistent query-vector dimensions and retain the per-vector plan when offsets require its existing semantics - add Rust and Python regressions and update Rust, Python, and TypeScript API documentation ## Root cause LanceDB expanded every vector in a batch into a separate scan plan and joined the plans with `UnionExec`. For unindexed tables on S3, a batch of ten vectors therefore ran ten concurrent full scans, amplifying CPU and retained data enough to produce the reported memory spike. The native Lance batch KNN path performs bounded-memory selection for all query vectors over one flat scan. LanceDB now supplies the vectors as a batch and avoids applying a global scanner limit to the combined per-query results. Batch queries with a nonzero offset keep the previous plan because the native batch API does not support per-query offsets. ## Validation - targeted Rust batch-query plan and execution tests - `cargo check --quiet --features remote --tests --examples` - `cargo clippy --quiet --features remote --tests --examples` - `cargo fmt --all -- --check` - targeted Python batch-vector regression after rebuilding the extension - Ruff formatting/checks for the touched Python files - Node.js build, lint, docs generation, and targeted batch-vector Jest test - `git diff --check` Fixes #2468 --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Co-authored-by: Xuanwo <github@xuanwo.io>
The Multimodal AI Lakehouse
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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