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lancedb-gatefixer[bot]
1e4662ac23
Remote SDKs report Cloud-specific errors against self-hosted servers, and some Python wrappers raise different exception types for the same unsupported operation. The sync index wrapper also warns that `replace` is ignored even though Rust forwards it to the server. Use backend-neutral table/server diagnostics and the existing `NotSupported` error conversions for unsupported manifest operations, blob ranges, primary keys, optimization, and HNSW-PQ indexes. Sync Python delegates to the async paths, so manifest operations and `optimize()` consistently raise `NotImplementedError`. Legacy and config-based HNSW-PQ creation share the same error and alternative-index advice. Remove the false replacement warning and simplify the ignored GPU-accelerator warning. Keep the deprecated cleanup/compaction no-ops, with backend-neutral warnings that do not assume automatic server maintenance. Embedding configuration forwarding and stale warning removal are now supplied by #4408 in `main`. Retain the regression that verifies full embedding metadata and warning-free remote creation alongside the diagnostics tests. Validation against the merged `main` revision `bbc4aebe` and Lance 14.0.0-beta.1: - Rebuilt the Python extension with `uv run --extra tests --extra dev maturin develop --extras tests,dev`; all 122 remote Python tests passed. Root Ruff checks and formatting passed using the uv-managed environment. - `pnpm build`, `pnpm lint`, formatting, and `pnpm run docs` passed; all 47 remote Node tests and the focused local vector-index regression passed. - All 583 Rust remote tests and 54 query unit tests passed, along with `cargo check --quiet --features remote --tests --examples`, `cargo clippy --quiet --features remote --tests --examples`, and `cargo fmt --all`. Fixes #4393 <!-- lance-gatekeeper-fix:v1 agent=10bafd337999f4910855c3a9b71e7dcf 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
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.
Contributors
Stay in Touch With Us