Weaviate - open source vector database

Weaviate is an open-source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering. It enables developers to build applications with semantic search, question answering, and recommendation systems using state-of-the-art ML models. Weaviate features automatic vectorization with pre-trained models, hybrid search combining vector and keyword search, and support for multi-modal data including text, images, and audio. The platform offers GraphQL and RESTful APIs, real-time indexing, and horizontal scaling capabilities. It integrates with popular ML frameworks and transformer models like OpenAI, Cohere, and Hugging Face. Weaviate can be deployed on-premise, in the cloud, or through Weaviate Cloud Services. With strong community support and enterprise features, Weaviate is ideal for building production-ready AI applications that require both semantic understanding and traditional database functionality.