mirror of
https://github.com/lancedb/lancedb.git
synced 2026-09-21 20:45:57 +00:00
Jack Ye
9fe10c7362
Align the experimental Function HTTP transport with the equivalent Table
CRUD API shape. This is an intentional breaking change to the
experimental Function routes; public Rust and Python APIs remain
unchanged.
## Route comparison
| Operation | Function before | Function after | Equivalent Table API |
| --- | --- | --- | --- |
| Create | `POST /v1/functions/create` | `POST /v1/function/{id}/create`
| `POST /v1/table/{id}/create` |
| Describe | `POST /v1/functions/describe` | `POST
/v1/function/{id}/describe` | `POST /v1/table/{id}/describe` |
| List | `POST /v1/functions/list` | `GET
/v1/namespace/{id}/function/list` | `GET /v1/namespace/{id}/table/list`
|
| Drop | `POST /v1/functions/drop` | `POST /v1/function/{id}/drop` |
`POST /v1/table/{id}/drop` |
## Contract details
- Create, describe, and drop use a singular resource path. Their `{id}`
path parameter is the URL-encoded Function name, and the duplicate
Function identifier is removed from each request body.
- Create continues to accept `202 Accepted`.
- List changes from a POST with a JSON body to a namespace-scoped GET.
Its `{id}` path parameter is the namespace identifier rather than a
Function name.
- Functions do not support nested namespaces yet, so the client lists
against the root namespace identifier (`$` with the default delimiter).
A non-root namespace is rejected.
- The optional list filter is named `name`. `limit`, `page_token`, and
`include_definition` remain available as query parameters.
- The paginated list response shape is unchanged.
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