f76b075d13
### Description Adding branch support for RemoteTable by threading a branch selector onto every operation the data plane accepts it on. Exposes the currentBranch to nodejs and python through the bindings. Matching the server handlers, the branch rides as: - a `?branch=` query parameter for Arrow-body and query-only ops (insert, merge_insert, multipart_*, version/list, drop_index) - a `branch` field in the JSON body for everything else (count_rows, query, update, delete, create_index, column ops, index list/stats, stats, restore, describe, tags create/update) A main-branch handle (`branch == None`) produces byte-identical requests to before: no `branch` field and no `?branch=` - Handle-per-branch: `create_branch` / `checkout_branch` return a new handle with fresh caches and reset version/freshness state, mirroring `NativeTable`. - `create_branch` maps 409 to already-exists, 400 to invalid, and 404 to not-found with source context, and sends without retry so the 409 stays observable. - `Ref` translation covers version, version-number (relative to the handle's branch), and tag (resolved via the tags endpoint); `"main"` and empty normalize to the main branch. - Python branch handles persist their branch (and pinned version) across pickle/fork, so a forked or pickled handle reopens on its branch rather than silently reverting to main. ### Tests - Rust mock tests per op category (query-param and body mechanisms, branch CRUD, error paths, backward-compat). - Python sync branch CRUD, `open_table(branch=)`, and a pickle round-trip regression test.
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
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