Databend

AI Data Runtime for Agents. Provides serverless Postgres with a multimodal datalake, enabling scalable retrieval and training. Unifies vector storage, dataset management, and streaming data loading for AI agent workflows.

A high-performance vector database designed to handle up to 1 billion vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available as a cloud service.

A PostgreSQL vector database extension for building AI applications, adding high-performance vector search capabilities to PostgreSQL with support for generating and indexing embeddings directly in the database.

An open-source graph-vector database built from scratch in Rust, combining graph database and vector retrieval capabilities to provide AI agents with unified storage for both knowledge graphs and semantic search.