Open source. Open possibilities.

ParadeDB is a Postgres extension that integrates full-text search, vector retrieval, and analytics into a single database.

LEANN is a lightweight vector database designed for personal RAG applications, reducing storage requirements by up to 97% through graph-based selective recomputation.

TalaDB is an embedded vector and document database designed for on-device AI, providing a unified TypeScript API across Browser, Node.js, and React Native.

HelixDB is an OLTP graph-vector database built in Rust on object storage, designed for knowledge graphs and AI memory.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows.

Deep Lake is a serverless multimodal database for AI that combines vector search with storage for embeddings, images, video, audio, and documents. It streams data directly from cloud storage to PyTorch/TensorFlow, supports versioning, and integrates with LangChain, LlamaIndex, and Weights & Biases.

Qdrant is a high-performance vector similarity search engine and database written in Rust, designed for AI applications requiring semantic search and large-scale vector management.