Weaviate is an open-source, AI-native vector database that provides vector search, hybrid search, and generative search capabilities for building context-aware AI applications at scale.
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About Weaviate
Weaviate is an open-source vector database designed for building AI-native applications. The platform supports vector search, keyword search, and hybrid search combining both approaches, enabling developers to build sophisticated retrieval systems for RAG, semantic search, and classification.
Weaviate's generative search feature integrates directly with LLMs, allowing search results to be transformed into generated responses within the database query itself. The platform supports multiple vectorization modules and can work with OpenAI, Cohere, Hugging Face, and custom embedding models.
Available as both a managed cloud service and self-hosted deployment, Weaviate provides the flexibility enterprises need for data sovereignty and compliance. The platform handles billions of objects and supports multi-tenancy for SaaS applications.
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