
Weaviate
Open-source and managed AI database for vector, keyword, and hybrid search across application data.
About this product
What it does
Weaviate combines vector search with structured data and hybrid retrieval, letting an application balance semantic similarity against exact terms. It offers an open-source deployment and a managed cloud product; the official cloud page lists a free starting tier and paid plans whose charges change with storage, dimensions, and deployment choices. Builders can use it for search and retrieval-augmented generation, but should not assume that a database choice alone determines answer accuracy. Create a representative evaluation set, compare hybrid and vector-only retrieval, and include embedding and query-agent charges in the total cost.
Editorial notes
Weaviate is worth comparing when a project needs both semantic and lexical search. Its managed service reduces infrastructure work, though billing has more dimensions than a simple subscription label suggests. Check the calculator against the expected object count.
Check the official product and pricing details before subscribing or deploying; features, limits, and prices can change.
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