lancedb and docs
The documentation repository serves as the reference guide for the main retrieval library, making them ecosystem siblings where one provides usage instructions and API documentation for the other.
About lancedb
lancedb/lancedb
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Built on the Lance columnar format, LanceDB combines vector similarity search with full-text search and SQL querying, enabling hybrid retrieval across billions of vectors in milliseconds with GPU-accelerated indexing. It supports zero-copy data access, automatic versioning, and native storage of multimodal data (text, images, videos, point clouds). Native integrations with LangChain, LlamaIndex, DuckDB, Pandas, and Polars provide seamless embedding into Python, Node.js, Rust, and REST-based workflows.
About docs
lancedb/docs
Documentation for LanceDB, the Multimodal Lakehouse for AI
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