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lancedb-gatefixer[bot]
3035636bed
Reading a Blob v2 table in a fresh process could return its storage struct if neither `blob()` nor pylance had registered the extension. Both local and remote schema reads were affected, so `field.type` could depend on import order. Restore metadata-only blob fields on every table schema read through the existing BlobType resolver and Arrow's schema deserializer. Preserve nested fields, nullability, custom metadata, and both supported storage layouts. The fallback deserializer now honors the stored shape too. Fresh-process regressions cover local and remote tables, sync/async reads, and operation with and without pylance. The four native cases failed before removing the native-table guard. Existing merge-insert tests now require the restored extension type while continuing to verify updated and inserted blob contents. Validation: - All 12 fresh-process local/remote schema regression cases pass. - `uv run --extra tests pytest python/tests/test_table.py python/tests/test_blob.py python/tests/test_namespace.py python/tests/test_util.py -q -m 'not slow and not s3_test'`: 835 passed, 11 skipped. - Python package Ruff lint and formatting checks pass. - Repository-wide `ruff check .` reports 48 pre-existing diagnostics in unchanged `docs/web-tests` files. Fixes #4719 <!-- lance-gatekeeper-fix:v1 agent=67c656bb5889e698efce5f2fd9d58ea7 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:
- 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
Stay in Touch With Us