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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/lancedb

Language

Rust

What 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