Weaviate

Open-source vector database — hybrid search, multi-tenancy, and native LLM module integrations for RAG

Weaviate is an open-source vector database designed for AI applications. It supports vector similarity search, BM25 keyword search, and hybrid search (combining both) — making it ideal for Retrieval-Augmented Generation (RAG). Weaviate's built-in module system integrates with OpenAI, Cohere, HuggingFace, and other embedding providers, enabling automatic vectorization during data ingestion. Available as a self-hosted deployment or Weaviate Cloud managed service.