Weaviate

Weaviate is an open-source vector database designed for building AI-powered applications that require semantic search, retrieval-augmented generation, and hybrid search capabilities. Founded in 2019 in Amsterdam, Weaviate stores data objects alongside their vector embeddings and supports fast similarity search at scale using approximate nearest neighbor (ANN) algorithms. Unlike pure vector stores, Weaviate is a full-featured database that supports structured filtering, CRUD operations, multi-...

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