Weaviate

Weaviate is an open-source vector database that stores both objects and their vector representations together, enabling hybrid search combining semantic vector search with keyword filtering in a single query without external preprocessing. It supports multiple vectorization modules including OpenAI, Cohere, and Hugging Face models and provides a GraphQL API for flexible querying across large-scale vector collections. ML engineers and developers building semantic search, recommendation systems, and RAG applications use Weaviate for its production-grade reliability, schema enforcement, and powerful hybrid search capabilities.