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lancedb-gatefixer[bot]
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## Summary - expose `memory_limit` and `num_workers` on the Python FTS configuration for local builds - forward both build-only settings to the Lance inverted-index builder - add an end-to-end regression proving the configured memory budget reaches the native build ## Root cause LanceDB 0.26.1 pinned Lance 1.0.1. That Lance version used an FTS partition-merge path whose retained data made memory grow with merge progress on very large indexes. Upstream Lance [#5754](https://github.com/lance-format/lance/pull/5754) changed partition merging to stream its inputs, reducing peak memory by about 25%. Lance [#6174](https://github.com/lance-format/lance/pull/6174) then removed the old merge phase, compressed posting lists during construction, reduced indexing memory by about 60%, and introduced a total build `memory_limit` for bounded workers. Current `main` pins Lance 11.0.0-beta.3, which contains those architectural fixes. This PR does not duplicate or claim the upstream leak fix; it addresses the remaining Python API gap. ## This repair LanceDB Python did not expose the native FTS builder resource controls. `memory_limit` now sets the total local-build budget in MiB, divided among effective workers, and `num_workers` controls build parallelism. Both are build-only settings and do not affect remote builds or persisted index configuration. ## Validation - `cargo check --quiet --features remote --tests --examples` - `cargo fmt --all` - `uv run --project python --extra tests --extra dev ruff check .` - `uv run --project python --extra tests --extra dev ruff format --check python/python/lancedb/index.py python/python/tests/test_fts.py` - `uv run --project python --extra tests pytest python/tests/test_fts.py -q` (51 passed) Fixes #2923 <!-- lance-gatekeeper-fix:v1 agent=a1ceedf74531e0212cb6f1ebf9390a26 generation=1 --> --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.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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⭐ 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
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