weaviate

Weaviate is an open-source, cloud-native vector database designed for semantic search at scale by storing both objects and their vector representations. It integrates capabilities such as vector similarity search, keyword filtering, retrieval-augmented generation, and reranking into a unified query interface, making it suitable for applications like RAG systems, chatbots, and recommendation engines. Notable features include automatic vectorization with various embedding models, support for pre-computed vectors, and built-in functionalities for multi-tenancy, replication, and role-based access control.