Technology

Weaviate

Weaviate: The open-source, AI-native vector database for high-performance hybrid search, scaling to billions of objects for RAG and semantic applications.

Weaviate is the open-source, cloud-native vector database built for AI-first applications. It stores both objects and vectors, enabling high-performance hybrid searches (vector similarity plus structured filtering) across billions of data points. Engineered in Go for speed and reliability, it seamlessly integrates with major vectorizers (like OpenAI and HuggingFace) and supports critical use cases: RAG (Retrieval-Augmented Generation), recommendation engines, and high-scale semantic search. With over 20 million downloads and SDKs for Python, Go, and TypeScript, Weaviate is the production-ready core for your generative AI stack.