📖 The AI Tool Bible

Agentset vs Weaviate

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

 
Agentset
RAG
Weaviate
RAG
TaglineProduction-ready RAG infrastructure with agentic search, citations, and model-agnostic plumbing.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFreemium· Free 1K pages/10K retrievals; Pro $49/mo + $0.01/page; Enterprise customFreemium· Free open-source; cloud from $25/mo
ModelMulti-model (Claude, OpenAI, Google, xAI, Cohere, Mistral, DeepSeek)Hosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
document-qaagentic-searchknowledge-basecitationsmultimodal-rag
self-hosted RAGhybrid search
Pros
  • Forever-free tier covers real prototyping (1K pages, 10K retrievals)
  • Model- and vector-DB-agnostic; avoids LLM vendor lock-in
  • Agentic retrieval with automatic citations out of the box
  • Ships SDKs plus an MCP server for agent stacks
  • SOC 2, HIPAA, and GDPR posture available on Enterprise
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • Connectors are $100 each on top of the Pro plan
  • Per-page overage adds up fast for document-heavy corpora
  • On-prem/BYOC and compliance reports are Enterprise-only
  • License terms not clearly surfaced despite GitHub presence
  • More ops than Pinecone if self-hosted
  • Smaller community
Websiteagentset.aiweaviate.io
Pick Agentset if
  • ✅ Forever-free tier covers real prototyping (1K pages, 10K retrievals)
  • ✅ Model- and vector-DB-agnostic; avoids LLM vendor lock-in
  • ✅ Agentic retrieval with automatic citations out of the box
  • ✅ Ships SDKs plus an MCP server for agent stacks
Pick Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
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