Weaviate

Weaviate is an open-source AI vector database for teams building semantic search, retrieval-augmented generation, recommendations, and agentic applications. It stores objects with vector representations and supports similarity search, while Weaviate Cloud provides a managed route for teams that do not want to operate the database themselves. The quickstart covers collection setup, data import, vector search, RAG, and natural-language querying through Query Agent. Query Agent can plan database operations, apply dynamic filters, route across collections, run aggregations, and return results with source citations. Cloud users can also use Weaviate Embeddings to create and manage vectors without sending data to a separate embedding provider. Adoption costs depend on scale and service expectations: the Free Forever plan has strict object, memory, disk, collection, tenant, embedding, and Query Agent allowances; Flex begins at $45 per month on shared infrastructure with 99.5% uptime; Premium begins at $400 per month and adds shared or dedicated deployment choices, multi-cloud coverage, up to 99.95% uptime, and faster support. The plans cover prototypes and production systems. Buyers should estimate usage-based embedding and Query Agent charges and verify that each plan's capacity, uptime, and support terms fit their workload.