mirror of
https://github.com/lancedb/lancedb.git
synced 2026-11-13 22:26:53 +00:00
Jonathan M HsiehandClaude Opus 5
bcb822a291
Comments that explained a decision by naming what came before it read as
changelog rather than rationale, and they age badly: a reader who never saw the
earlier shape learns nothing from being told it existed. This is a new surface,
so every comment here now states the property that holds today.
- `RemoteCreateFunctionRequest` said a literal "is why `secret_bindings`
silently stopped reaching the service". It now says what the struct buys:
the compiler decides what reaches the service, and a new field on the
registration request is a build error here until it is handled.
- Wire-omission comments that appealed to clients predating Secrets or
namespaces now state the rule itself -- a binding states a namespace only
when it has one, a body carries a binding list only when there is one.
- `BodyLogging::Allowed` described logging "as every request did before
Secrets existed", which is really the default: a body is diagnostic unless
the call that built it says otherwise.
- `a_version_without_bindings_keeps_the_original_wire_shape` named a shape no
longer worth referencing. Both the Rust and Python tests now name the
property they check -- absent decodes as an empty list, and an empty list
serializes back to absent.
Comments that cite the Table and Function conventions are kept. Those describe
what the code sits beside today, which is the reason a reader needs.
Tests: lancedb secret unit tests 7, `first_class_function_slice1` 9,
`first_class_function_slice2` 3, 93 Python tests across both slices.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UfmeJ533rQDnPBkMtjerV6
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