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Jack Ye
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Every group now answers exactly one question. Get started and Concepts cover what the system is; the verb groups cover doing something with it; Operate, Secure and Deploy cover running it; SQL reference is lookup. Maintenance becomes Operate, Governance becomes Secure, and the rest take verbs to match. Three new pages in Concepts and Get started: Guarantees states what a write promises when it returns, which version a reader sees, what survives a failure, and -- the half usually missing -- what is not guaranteed: no multi-table transactions, no read-your-writes across processes without an interval, unenforced primary keys that do not enforce, no background compaction. Limits collects bounds that were stated in passing across a dozen pages, with the numbers verified against the code rather than inferred: name lengths, job event caps, SHOW ERRORS bounds, the sampling range that is refused rather than clamped. Architecture illustrates embedded against distributed as the one deployment decision, and is written to cover both rather than only Enterprise. Indexing splits by question. Choosing an index is a Query decision and moves there; building, repairing and GPU-building it stay in Operate. SQL becomes a top-level reference of fifteen pages instead of a sub-group of Query. Auditing sophon-sql turned up a large undocumented surface: ALTER TABLE ADD COLUMN in its plain, computed and function forms with FILTER, IGNORE NULLS and OVER modifiers; SET UNENFORCED PRIMARY KEY; SET and UNSET WAL with sharding; CREATE FUNCTION with its dependency options; REFRESH COLUMN and REFRESH MATERIALIZED VIEW; and the SHOW family. None of it was written down.
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
Stay in Touch With Us