📖 The AI Tool Bible

Cube vs Weaviate

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Cube
RAG
Weaviate
RAG
TaglineSemantic layer that grounds LLM agents in your real business metrics instead of letting them hallucinate SQL.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFreemium· Cube Core open source; Cube Cloud paid, contact salesFreemium· Free open-source; cloud from $25/mo
ModelMulti-modelHosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
semantic-layerembedded-analyticsnatural-language-biagent-groundingai-analytics
self-hosted RAGhybrid search
Pros
  • Open-source core with a mature 18k-star community
  • Governs LLM answers via a semantic layer, cutting metric hallucinations
  • First-class MCP, Claude, ChatGPT, and Slack endpoints
  • Battle-tested in embedded analytics at Brex, Webflow, Wix
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • Cloud pricing not public — requires a sales call
  • You must model the semantic graph before the AI features pay off
  • Overkill for small projects without a warehouse or multi-tenant needs
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitecube.devweaviate.io
Pick Cube if
  • ✅ Open-source core with a mature 18k-star community
  • ✅ Governs LLM answers via a semantic layer, cutting metric hallucinations
  • ✅ First-class MCP, Claude, ChatGPT, and Slack endpoints
  • ✅ Battle-tested in embedded analytics at Brex, Webflow, Wix
Pick Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
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