Tool profile
Vector database and retrieval platform for semantic search, hybrid search, and production RAG systems.
Vector search
Weaviate is a vector database and retrieval platform for teams building search, RAG, and other AI systems that depend on semantic and hybrid retrieval. It is relevant when the buyer needs production database behavior around retrieval, not just a simple toy vector store.
That makes it an infrastructure choice for builders rather than an end-user AI product. The real decision is whether the team wants a managed retrieval platform with database-like capabilities instead of hand-assembling the stack.
Quick fit
Editorial take
Weaviate should be compared with other vector databases and managed retrieval stacks based on whether the buyer wants open-source flexibility, managed production convenience, or a different retrieval architecture. It is strongest when vector search is a core application capability rather than a side experiment.
What it does well
Primary use cases
Fit notes
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Pressure-test this pick against nearby alternatives.
Pricing snapshot
Weaviate offers a 14-day free trial. Flex starts around $45/month, Premium starts around $400/month, and larger dedicated setups are contact sales.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
