Weaviate
The open-source vector database for AI apps and agents
4.9•13 reviews•59 followers
The open-source vector database for AI apps and agents
4.9•13 reviews•59 followers
Weaviate is an open-source, AI-native vector database for building search, RAG, and AI agents. Store data objects with their vector embeddings and run semantic, keyword, and hybrid search at scale. Bring your own models or use built-in vectorization. Then go further with Query Agent (ask your data questions in natural language) and Engram (give your agents long-term memory). Run it open source, or start free on Weaviate Cloud; no credit card, no expiration.
Weaviate Reviews
The community submitted 13 reviews to tell us what they like about Weaviate, what Weaviate can do better, and more.
4.9
Based on 13 reviews
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Reviewers see Weaviate as a strong fit once needs go beyond basic vector search, especially for RAG and structured data where metadata and exact keyword matching matter. The clearest praise is for hybrid search, which combines semantic retrieval with BM25 in one query, and for a modular setup that makes switching embedding providers easier. The main tradeoff is complexity: the schema-first model adds upfront planning, and self-hosting can take real infrastructure work. Overall, sentiment is positive, with a clear note that teams should expect some ramp-up time.
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