Zep’s temporal knowledge graph powers its context engineering capabilities, including agent memory and Graph RAG. Zep’s graph is built on Graphiti, Zep’s open-source temporal graph library, which is fully integrated into Zep. Developers do not need to interact directly with Graphiti or understand its underlying implementation.
A knowledge graph is a network of interconnected facts, such as “Kendra loves Adidas shoes.” Each fact is a “triplet” represented by two entities, or nodes (“Kendra”, “Adidas shoes”), and their relationship, or edge (“loves”).
Knowledge Graphs have been explored extensively for information retrieval. Zep autonomously builds temporal knowledge graphs, handling changing relationships and maintaining historical context.
Zep automatically constructs a temporal knowledge graph for each of your users. The knowledge graph contains entities, relationships, and facts related to your user, while automatically handling changing relationships and facts over time.
Here’s an example of how Zep might extract graph data from a chat message, and then update the graph once new information is available:
Each node and edge contains certain attributes - notably, a fact is always stored as an edge attribute. There are also datetime attributes for when the fact becomes valid and when it becomes invalid.
Zep’s graph database stores data in three main types:
graph.add endpoint.To learn more about interacting with Zep’s graph, refer to the following sections:
These guides will help you use Zep’s knowledge graph in your applications.