📖 The AI Tool Bible

MaxKB vs Weaviate

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

 
MaxKB
RAG
Weaviate
RAG
TaglineOpen-source enterprise RAG and agent platform with built-in workflow engine and multi-LLM support.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFreemium· Community edition free (GPLv3); paid enterprise editionFreemium· Free open-source; cloud from $25/mo
ModelMulti-modelHosted vector DB (not an LLM)
Editorial score—8.4 / 10
Use cases
enterprise-knowledge-basecustomer-support-botsinternal-qaagent-workflowsdocument-rag
self-hosted RAGhybrid search
Pros
  • Self-hostable via single Docker container with pgvector built in
  • Works with both commercial APIs and local OSS models (DeepSeek, Llama, Qwen)
  • Visual workflow engine and MCP tool-use without writing code
  • Active project with 20k+ GitHub stars and GPLv3 license
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • GPLv3 copyleft can be a non-starter for proprietary embedding
  • Some community docs and issues skew Chinese-first
  • Enterprise features (SSO, audit) gated behind paid tier
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitemaxkb.cnweaviate.io
Pick MaxKB if
  • ✅ Self-hostable via single Docker container with pgvector built in
  • ✅ Works with both commercial APIs and local OSS models (DeepSeek, Llama, Qwen)
  • ✅ Visual workflow engine and MCP tool-use without writing code
  • ✅ Active project with 20k+ GitHub stars and GPLv3 license
Pick Weaviate if
  • ✅ Hybrid search built in
  • ✅ Self-host or cloud
  • ✅ Module ecosystem
  • ✅ GraphQL + REST APIs
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