Weaviate is an open-source vector database that enables fast, scalable similarity search for AI applications. Unlike traditional vector stores, Weaviate features built-in vectorization modules, hybrid search (vector + BM25), and a GraphQL-like query interface. With over 1 billion stars on GitHub and a thriving community, Weaviate powers RAG pipelines, semantic search, and multimodal retrieval for AI-native applications.
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