mirror of
https://github.com/lancedb/lancedb.git
synced 2026-09-21 20:45:57 +00:00
Will JonesandClaude Opus 5
1d2a5d084b
Two ways of writing to a `json` column failed or silently corrupted data. **All-null batches were rejected.** `add()` refused a batch whose values for a `json` column were all null, while every plain Arrow type accepted the same batch. This bites row-at-a-time inserts hardest: a one-row batch with no value for an optional column is trivially all-null, so most such writes failed. pyarrow infers `null` as the column's type, and the write path had no handling for it — casting to the table's type dropped the field metadata that identifies the column as `lance.json`, so lance rejected the batch (`` `val` should have type json but type was large_binary ``). A null-typed input column now becomes typed nulls matching the table's field exactly, metadata included. **Unlabelled JSON text was stored raw.** JSON supplied as plain strings (what pyarrow infers for a column of `str`) was cast to the column's `LargeBinary` storage type and relabelled `lance.json`, putting unparsed text where JSONB was expected. Reads returned the text unnormalized and `json_extract` failed with `InvalidJsonb`. Lance-core does the JSONB encoding, but only for input labelled `arrow.json`, so string input is now labelled rather than cast — at the top level and inside structs. Both fixes are in the shared Rust write path, so they apply to any binding, including hand-built Arrow tables that never pass through Python's list-of-dicts type inference. `_align_field` gets the same JSON-string fix for the legacy Python `_sanitize_data` path, which `on_bad_vectors` and embedding functions still route through. The blob v2 half of the issue landed separately in #4065, which added a `DataType::Null` arm to blob coercion. This PR keeps that implementation and adds end-to-end add-path coverage for it. The tests from #4066 are included here and pass, so that PR's Python-layer inference changes are no longer needed to close the issue. Fixes #3759 --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.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
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.
Contributors
Stay in Touch With Us