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Job callers currently lose the server's structured progress when describing, listing, or waiting for a job. Expose Rust and Python progress snapshots and optional wait observers using the existing backend poller. Python supports callbacks, a caller-owned tqdm-like bar, or `progress=True`; `status()` still returns a string and the default wait behavior is unchanged. Preserve unknown progress fields and phases from newer servers, and report omitted counters as unknown. Each wait calibrates a caller-owned bar from its first complete snapshot, then uses a high-water mark within the same execution epoch; a new epoch or smaller plan resets the bar. ETA is best-effort and omitted for missing, stale, paused, or incompatible samples. Newly submitted index and refresh handles forward observers through their freshness wrapper while retaining successful-wait read consistency. The Jobs guide includes draft Python/Rust snapshot and observer examples for release; TypeScript progress support remains tracked under ENT-3500. Validation on the development EC2 host: the initial 11 Python progress tests, REST fixture caller, and two Rust progress regressions passed. After fixing freshness-wrapper forwarding, rebuilt the Python extension and ran two submitted-handle Python tests plus the new Rust refresh and index regressions (one test each); all passed. Strict Clippy, rustfmt, and targeted Ruff passed. The final commit only wraps the new guide section in an MDX draft and clarifies language support. Repository-wide Ruff reports 48 existing findings in six unchanged docs/web-tests files. This publishes the SDK portion of ENT-3500. Server-side live-split and terminal-progress changes and the combined server/SDK end-to-end scenario remain in progress. Refs ENT-3500. BREAKING CHANGE: Rust struct literals for `JobInfo` must add `progress: None`, `phase: None`, and `paused: false`. Literals for `JobDescription` must add `progress: None`, `phase: None`, `queue_reason: None`, `waiting_for_job_id: None`, and `paused_at_millis: None` when that metadata is unavailable. Existing Python calls remain compatible.
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:
- LanceDB Embedded (open source): 100% open source, runs in your application's process; your data can live on local disk or in object storage. No vendor lock-in.
- LanceDB Enterprise: Production-scale distributed search, indexing, and maintenance. Plus, 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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