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`INSERT INTO target SELECT ... FROM source` currently cannot copy Blob v2 descriptors into an independent table. This enables copies from a single native source snapshot through projections, filters, sorting, and limits, while preserving descriptor queries such as `SELECT payload.size`. Source-owned payloads become target-owned data, so subsequent source mutation, compaction, or deletion does not invalidate the copy; nested fields retain their named identity across metadata differences, child reordering, scalar casts, and nullable parents. External blobs remain URI/range references under the destination's existing authorization policy: a destination that independently registers the matching external base accepts the copy, while an unregistered destination rejects it without committing. Source base registrations are not transferred, and `allow_external_blob_outside_bases` is not relaxed. JOIN, UNION, aggregation, and computed descriptors are rejected during planning. This addresses the DataFusion cross-table copy portion of OSS-696; remote/cloud execution and Realtime/MemWAL remain outside this support boundary. Local acceptance covers 15 passing DataFusion Blob integration cases, including byte reads after physical source-directory deletion, authorized and unauthorized External ranges, and a source-read failure after an earlier partition has written an uncommitted data file, with both the live destination and an independently reopened manifest unchanged. Existing regression evidence also includes 195 DataFusion unit tests and 59 Blob integration tests. Rust formatting and whitespace checks passed. Remote-feature builds, cloud/S3 execution, clippy, and the full workspace suite were not run.
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