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## Summary Closes #3525 This PR wires up two new optional object-store backends at the LanceDB layer, exposing capabilities that already exist upstream in `lance` / `lance-io`: | Backend | Cargo feature | Default in Rust crate | Default in Python wheel | Default in Node binding | | --- | --- | --- | --- | --- | | **Tencent COS** | `cos` | ❌ off | ✅ on | ❌ off | | **GooseFS** | `goosefs` | ❌ off | ✅ on | ✅ on | Both backends are additive and do not affect existing users who don't opt in. ## Motivation - **Tencent COS** is the dominant object storage in the China region. Tencent Cloud users currently need an S3-compatible proxy or a private fork to use LanceDB against COS buckets. - **GooseFS** is Tencent Cloud's distributed cache acceleration layer that sits in front of COS/S3, a common pattern for vector search / AI training where the same hot dataset is read repeatedly. - This brings COS / GooseFS to feature parity with the existing first-class backends (`aws`, `gcs`, `azure`, `oss`, `huggingface`). See the linked issue #3525 for the full discussion. ## Changes ### `rust/lancedb/Cargo.toml` Add two new optional features that pull through the corresponding upstream feature flags: ```toml cos = ["lance/tencent", "lance-io/tencent"] goosefs = [ "lance/goosefs", "lance-io/goosefs", "lance-namespace-impls/dir-goosefs", ] ``` ### `python/Cargo.toml` Enable both `cos` and `goosefs` by default for the Python wheels, so `pip install lancedb` works against COS / GooseFS out of the box (consistent with how `aws` / `gcs` / `azure` / `oss` are bundled today): ```diff -default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface"] +default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/cos", "lancedb/goosefs"] ``` ### `nodejs/Cargo.toml` Enable `goosefs` by default for the Node binding (COS kept opt-in to limit the default native binary size; can be revisited based on demand): ```diff -default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface"] +default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/goosefs"] ``` ### `Cargo.lock` Regenerated to reflect the transitive dependencies brought in by the new upstream features. No manual edits. ## Example Usage ### Rust ```toml # Cargo.toml lancedb = { version = "0.30", features = ["cos", "goosefs"] } ``` ```rust // Tencent COS let db = lancedb::connect("cos://my-bucket/my-db").execute().await?; // GooseFS let db = lancedb::connect("goosefs://my-namespace/my-db").execute().await?; ``` ### Python ```python import lancedb db = lancedb.connect( "cos://my-bucket/my-db", storage_options={ "secret_id": "...", "secret_key": "...", "region": "ap-guangzhou", }, ) ``` ## Backwards Compatibility - All new features are **opt-in** at the Rust crate level (`default = []` for `lancedb` itself is unchanged). - The Python wheel gains both backends by default, increasing wheel size slightly but matching the existing pattern of bundling all major cloud backends. - Node binding only adds `goosefs` to defaults; existing users see no behavior change. ## Testing - `cargo check --all-features` ✅ - `cargo check -p lancedb --features cos` ✅ - `cargo check -p lancedb --features goosefs` ✅ - End-to-end COS / GooseFS smoke tests require Tencent Cloud credentials and are intentionally not added to CI in this PR (same approach used for `s3-test`). Happy to add a gated test feature in a follow-up if reviewers prefer. ## Checklist - [x] Added `cos` and `goosefs` features to `rust/lancedb/Cargo.toml` - [x] Updated `python/Cargo.toml` default features - [x] Updated `nodejs/Cargo.toml` default features - [x] Regenerated `Cargo.lock` - [x] Verified build with `--all-features` - [ ] Documentation update (can be done in a follow-up PR once API stabilizes) ## Related - Issue: #3525 - Upstream support: [`lance/tencent`](https://github.com/lance-format/lance), [`lance/goosefs`](https://github.com/lance-format/lance)
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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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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