LanceDB

Embedding directly in an application the way SQLite does, LanceDB is an open source vector database with no separate server to operate. It builds on Lance, a columnar storage format designed for multimodal AI data, and stores text, images, video, and other raw content alongside embeddings so vectors and their source material live together with automatic versioning. Queries can combine vector similarity search, full text search, and SQL filtering, with millisecond search over billions of vectors and optional GPU accelerated index building. Native SDKs exist for Python, TypeScript, and Rust, and integrations cover LangChain, LlamaIndex, DuckDB, Pandas, and Polars. The same code scales from a laptop prototype to production, and a managed cloud offering exists for teams that prefer not to run their own storage. Developers building RAG pipelines, semantic search, and recommendation features use it to avoid standing up dedicated vector infrastructure. Released under the Apache 2.0 license.