Zep vs Graph RAG | Zep Documentation

While traditional GraphRAG excels at static document summarization, Zep is designed for dynamic and frequently updated datasets with continuous data updates, temporal fact tracking, and sub-second query latency. This makes Zep particularly suitable for providing an agent with up-to-date knowledge about an object/system or user.

Aspect	GraphRAG	Zep
Primary Use	Static document summarization	Dynamic data management
Data Handling	Batch-oriented processing	Continuous, incremental updates
Knowledge Structure	Entity clusters & community summaries	Episodic data, semantic entities, communities
Retrieval Method	Sequential LLM summarization	Hybrid semantic, keyword, and graph-based search
Adaptability	Low	High
Temporal Handling	Basic timestamp tracking	Explicit bi-temporal tracking
Contradiction Handling	LLM-driven summarization judgments	Temporal edge invalidation
Query Latency	Seconds to tens of seconds	Typically sub-second latency
Custom Entity Types	No	Yes, customizable
Scalability	Moderate	High, optimized for large datasets