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Jonathan HsiehandClaude Opus 5.5
82d39485a4
Adds namespace addressing to Functions, matching what Secrets already have (#4150). ## API `create_function` / `create_function_async`, `get_function`, `list_functions`, `drop_function` / `drop_function_async` take `namespace_path` — keyword-only in Python (sync, async and remote connections) and a trailing `&[String]` in Rust — defaulting to the root. The namespace is addressed in the route identifier (`/v1/function/analytics$features$embed/describe`, `/v1/namespace/analytics$features/function/list`); no body carries it. `FunctionVersion` and `FunctionVersionRef` name their Function **by parts** — a short `name` plus `namespace_path` — the same shape as `SecretReference`, so a returned version reopens from its own fields: ```python fv = db.create_function(embed, namespace_path=["analytics", "features"]) fv.name, fv.namespace_path # "embed", ("analytics", "features") db.get_function(fv.name, version=fv.version, namespace_path=list(fv.namespace_path)) ``` An empty path is omitted from the wire, so root documents keep their shape. `namespace_path` is passed straight to the binding, so a bare string (`namespace_path="prod"`) is a `TypeError` rather than four one-character segments; segments are checked for addressability before a request is built. The binding and application allow-lists now share one field list, `FUNCTION_VERSION_REF_FIELDS`, which admits `namespace_path` — without it a namespaced binding or application read as coming from a newer contract. ## Service side The Sophon half serves and persists FunctionVersion / FunctionVersionRef documents in this split form, keeping the joined id as its internal catalog key. It lands in sophon with the submodule bump. ## Tests - Rust: every Function verb addresses a namespace in the path; an unaddressable segment never reaches the transport; `FunctionVersion` round-trips a namespace and `reference()` carries it; a namespaced binding and application are known shapes. - Python: sync and async verbs address the namespace; a created Function reopens from its own `name`/`namespace_path`; a bare-string path is refused before any request. Draft: compiles, `cargo fmt --check` and clippy `-D warnings` clean; lancedb lib Function tests (116) and `first_class_function_slice2` pass on this base. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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
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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 |
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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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