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About
Weaviate is an open-source vector database that combines vector and structured (hybrid) search with cloud-native scalability, storing both objects and their vectors for retrieval and RAG.
Why it made the leaderboard
It pairs vector search with keyword and structured filtering (hybrid search) and stores objects alongside their vectors, which suits RAG that needs both semantic relevance and exact-match constraints.
Tags
vector-databaseragembeddingshybrid-searchaisemantic-search
Tech Stack
PythonGoDocker
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