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adenzhou1350
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Follow-up on current main `7b3ba4c4` (merge commit `0b0475c1`): resolved the test import conflict, preserving both upstream imports and the original `warnings` import. The final PR diff is still limited to the same storage-option helper/call sites and regression class. AST comparisons preserve every upstream test definition and the original regression class/helper; both changed files compile and pass Ruff 0.15.1 check/format. Fresh locked-environment runtime validation was attempted with `uv run --locked --extra tests --extra dev pytest python/tests/test_namespace.py -q`, but dependency setup failed downloading the locked `pylance==14.0.0b12` wheel due a network connection error. No current-main native test result is claimed. Repository-wide Ruff reports 49 findings and 11 formatting differences in unchanged upstream docs/web-tests files; these were left outside this PR. CI approval and a human review are still pending. --- Original implementation and historical validation (before the main merge): Namespace-backed `create_table` accepts `data_storage_version` and `enable_v2_manifest_paths`, but neither sync nor async creation forwards them. The requested format/manifest settings are silently ignored. Normalize these deprecated arguments into the existing `new_table_*` storage options, matching ordinary connections. Explicit arguments take precedence; the caller's dictionary is not mutated. No Rust or native interface changes. Regression tests inspect persisted tables, including sync/async creation, populated/empty tables, stable/legacy formats, both manifest settings and explicit-option precedence. Validation on Linux/Python 3.12, based on current main `d3390a9`: - Rebuilt the exact-main native extension and reused that identical extension in separate baseline/candidate environments; only the candidate Python namespace wrapper differs. Dependencies came from the unchanged `uv.lock`. - Same complete `test_namespace.py`: baseline 16 regression failures and 39 passing controls; candidate **55 passed**, no skips/errors. - Ruff check/format and diff whitespace checks passed. This validates the local directory-namespace path, not a live Cloud service or the complete repository CI suite. Signed-off-by: Xucheng Zhou <aden1350@outlook.com>
The Multimodal Lakehouse for AI
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.
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