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## Problem Function catalog lookup required an exact version string even though callers commonly need the latest currently visible immutable revision. On the current SDK, resolving that version required an out-of-band catalog query before calling `get_function`. ## Change - Make Python `get_function(name)` default to latest while accepting `int` or `str` for exact lookup. - Normalize integer versions to their decimal string form and reject `bool` explicitly. Existing string validation and errors remain unchanged. - Thread `None` through the rebuilt PyO3 binding and route it to the new Rust `Connection::get_function_latest`. - Resolve latest through the existing catalog `DESCRIBE FUNCTION` path without `WITH (version = ...)`. The returned value is one exact immutable version, not a mutable alias. - Preserve the existing Rust exact-version API. ## Validation On the designated EC2 host with the rebuilt extension: - `test_local_function_catalog_operations_are_not_supported`: **1 passed**. This crosses the Python connection, rebuilt PyO3, and embedded Rust `NotSupported` boundary with the omitted-version call. - Async and sync catalog-path tests: **2 passed**, 117 deselected. - Remote SQL Function creation/description integration test: **1 passed**. - An earlier Rust invocation with the wrong module path matched **0 tests**; it is retained as harness evidence and is not counted as a pass. ## Scope This is the Function lookup SDK slice. It does not include the separate atomic rebind/publication server work tracked under ENT-3418.
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
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⭐ 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.
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