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J Ganesh Kumar Reddy
12d86ea251
## Summary Fixes #3211 by exposing the shared Rust/DataFusion expression builder through Node bindings. Case-sensitive references such as `col("firstName")` can be composed and passed to `where()`, while SQL strings remain supported. The expression-object representation follows [the design requested on #3290](https://github.com/lancedb/lancedb/pull/3290#discussion_r3632371998). That earlier PR remains open; no claim is made that the issue was unclaimed or that maintainers have selected this implementation. ## Review corrections - Construct the named native struct correctly and parse casts through `arrow_schema::DataType`. - Preserve numeric values: use Int64 only for JavaScript safe integers; retain Float64 otherwise. Explicit `litInt` rejects unsupported numbers with a documented `RangeError`. - Correct test syntax/API calls and align SQL assertions with the shared dialect, including reserved and case-sensitive names. - Use typed, isolated temporary test tables with cleanup, and cover an actual large-number filter threshold. - Document the public methods and commit generated API documentation. Synced with current main `0bceaaf3` through a normal merge. The diff is limited to seven Node source/test/config files and eleven generated documentation files; no Rust core change. ## Validation [Linux validation run](https://github.com/Ganesh1729-ui/lancedb/actions/runs/38244794288) on Node 24 / Rust 1.97.0 with the repository's `ci` profile and `remote,lancedb/metrics-otel` features: - Rebuilt native addon, TypeScript build, Biome, Rust formatting and native Clippy pass. - Expression/query/Arrow/table suites: **1,129 passed**; expression suite repeated: **42 passed**. - Using the original JavaScript numeric dispatch with the rebuilt addon: **8 regressions fail, 2 controls pass**. - Strict TypeDoc generation passes. Final local typing/docs/lint checks pass; the PR source equals the validated source except for the separate validation workflow, which is excluded from this PR. Full provider/model/S3, other feature combinations and OS/Node matrices were not run in this follow-up. Upstream checks and maintainer review remain separate. ## AI assistance AI was used for implementation, review and testing. No prior human review is claimed.
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:
- 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.
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