Open SourceRAG8k
LanceDB
Serverless embedded vector DB for multimodal AI with hybrid search.
LanceDB is an open-source, embedded multimodal vector database built on the columnar Lance file format, designed to run in-process without a separate server. It combines vector similarity search with full-text and SQL-style filtering, supports versioning and zero-copy access, and scales to billions of vectors across text, image, and video data. It is notable for being serverless/embeddable while still handling large-scale retrieval.
Repository
lancedb/lancedbLanguage
RustWhat you'd build with it
- Embedding a local vector store directly in an application or notebook without running a database server
- Storing and querying multimodal embeddings (text, image, video) with combined vector and metadata filters
- Versioning datasets and feature/embedding tables for reproducible AI/ML pipelines
Tags
vector-dbmultimodalembedded