Weaviate
Product
Weaviate is an open-source AI-native vector database that stores and searches embeddings for semantic and hybrid retrieval.
- Currently Offered
Weaviate is an open-source vector database purpose-built for AI applications, storing documents and their embeddings so queries retrieve semantically relevant results. It supports hybrid keyword and vector search, filtering, and generative-search integrations with model providers.
Teams self-host Weaviate through Docker or Kubernetes, or run it on the managed cloud offering. Modules add vectorizers, rerankers, and generative components without moving data out of the engine.
Weaviate is an open-source AI-native vector database that stores and searches embeddings for semantic and hybrid retrieval.
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