Weaviate
Open-source vector database for AI, search, and RAG
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About Weaviate
Developers building AI-native applications often struggle to store, index, and search high-dimensional vector data efficiently while managing separate embedding pipelines and complex multi-tenant infrastructure.
Weaviate is an open-source vector database designed to store, index, and search high-dimensional vectors at scale. It acts as foundational infrastructure for retrieval-augmented generation (RAG), search applications, and agentic AI systems.
The platform includes native vector generation from text and images, removing the need for external embedding pipelines. It also features a natural-language query agent that automatically converts user intent into optimized database queries.
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