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Bruno Ramirez
9a1ffb9e02
Remote create-index requests already expose `replace` on the builder, but the remote client did not consistently forward an explicit `replace=false` over REST. That meant create-only intent could be lost before it reached a remote server, even though local builders and Python APIs can express it. This PR forwards `replace=false` on the existing `create_index` endpoint and keeps the current default behavior unchanged for compatibility. This was accomplished with the following changes: - Serialize `replace: false` into the existing remote create-index request body when the builder is configured with `.replace(false)`. - Forward `replace` through the synchronous Python remote `create_index` wrapper so `RemoteTable.create_index(..., replace=False)` reaches the repaired path. - Continue omitting `replace` for the default path so existing remote create-index requests keep their current semantics. - Document `name` and `replace` on the existing OpenAPI create-index request schema. - Add coverage that verifies the remote client uses the existing `/create_index/` route and forwards `replace=false`, including the synchronous Python unified API. ### Testing - `cargo fmt --all --check` - `cargo test -p lancedb --features remote test_create_index_forwards_replace_false_on_existing_route --locked` - `uv tool run maturin develop --extras tests,dev,embeddings` - `uv run --frozen pytest python/tests/test_remote_db.py::test_remote_create_index_new_api` - `uv run ruff format --check python/lancedb/remote/table.py python/tests/test_remote_db.py` - `cargo build -p lancedb --features remote --locked` - `cargo clippy -p lancedb --features remote --all-targets --locked -- -D warnings`
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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