πŸ“– The AI Tool Bible

Graphiti vs Weaviate

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

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Graphiti
RAG
Weaviate
RAG
TaglineOpen-source temporal knowledge graph framework for building agent memory that updates in real time.Open-source vector DB with hybrid search and modules.
CategoryRAGRAG
PricingFreemiumΒ· Open-source (Apache 2.0); managed Zep Cloud sold separatelyFreemiumΒ· Free open-source; cloud from $25/mo
ModelMulti-modelHosted vector DB (not an LLM)
Editorial scoreβ€”8.4 / 10
Use cases
agent-memorytemporal-knowledge-graphshybrid-retrievallong-running-agentscontext-engineering
self-hosted RAGhybrid search
Pros
  • Real-time incremental graph updates without batch recomputation
  • Temporal model tracks when facts were valid, not just current state
  • Hybrid semantic + keyword + graph search out of the box
  • Open source with an active commercial backer in Zep
  • MCP server lets Claude Desktop and Cursor read agent memory directly
  • Hybrid search built in
  • Self-host or cloud
  • Module ecosystem
  • GraphQL + REST APIs
Cons
  • Requires running a graph database like Neo4j
  • LLM calls during ingestion add cost vs plain vector RAG
  • Steeper learning curve than drop-in RAG libraries
  • More ops than Pinecone if self-hosted
  • Smaller community
Websitehelp.getzep.comweaviate.io
Pick Graphiti if
  • βœ… Real-time incremental graph updates without batch recomputation
  • βœ… Temporal model tracks when facts were valid, not just current state
  • βœ… Hybrid semantic + keyword + graph search out of the box
  • βœ… Open source with an active commercial backer in Zep
Pick Weaviate if
  • βœ… Hybrid search built in
  • βœ… Self-host or cloud
  • βœ… Module ecosystem
  • βœ… GraphQL + REST APIs
Graphiti vs Weaviate β€” side-by-side comparison Β· The AI Tool Bible