Graphiti vs Pinecone

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

	Graphiti RAG	Pinecone RAG
Tagline	Open-source temporal knowledge graph framework for building agent memory that updates in real time.	Managed vector database for production-scale similarity search.
Category	RAG	RAG
Pricing	Freemium· Open-source (Apache 2.0); managed Zep Cloud sold separately	Freemium· Free starter; serverless pay-as-you-go from $0.33/1M reads
Model	Multi-model	Hosted vector DB (not an LLM)
Editorial score	—	8.8 / 10
Use cases	agent-memorytemporal-knowledge-graphshybrid-retrievallong-running-agentscontext-engineering	managed vector DBproduction RAG
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	Zero ops Low query latency Mature SDKs Serverless pricing is now sensible
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	Costs scale with vector count Less flexible than self-hosted
Website	help.getzep.com	www.pinecone.io

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