📖 The AI Tool Bible

Humata.ai vs Weaviate

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

 
Humata.ai
RAG
Weaviate
RAG
TaglineChat-with-your-documents RAG tool with citation-backed answers across uploaded PDFs and files.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFreemium· Free (60 pages); Expert $9.99/mo; Team $49/user/mo; Enterprise on requestFreemium· Free open-source; cloud from $25/mo
ModelMulti-modelHosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
document-qaresearch-summarizationpdf-analysisknowledge-base-searchliterature-review
self-hosted RAGhybrid search
Pros
  • Citations link every answer back to the exact source passage
  • Cheap entry tier ($9.99/mo) suitable for individual researchers
  • Public API and embeddable widget for integration into other apps
  • Team plan with role-based access for collaborative workflows
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • Closed-source SaaS — uploaded documents leave your infrastructure
  • Per-page quotas make heavy archival workloads expensive
  • Underlying model not disclosed, so answer quality varies silently
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitehumata.aiweaviate.io
Pick Humata.ai if
  • ✅ Citations link every answer back to the exact source passage
  • ✅ Cheap entry tier ($9.99/mo) suitable for individual researchers
  • ✅ Public API and embeddable widget for integration into other apps
  • ✅ Team plan with role-based access for collaborative workflows
Pick Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
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