Citation Needed: Provenance for LLM-Built Knowledge Graphs — Daniel Chalef, Zep AI

Daniel Chalef discusses how LLM synthesis destroys data provenance, making it difficult to trace information back to its sources. He introduces Graphiti, an open-source temporal graph framework, and Zep, an agent memory infrastructure built upon it. This system models provenance as a graph, treating sources as 'episodes' and derived facts as interconnected nodes and edges. This approach enables robust lineage tracing, handles entity merges and fact invalidation through temporal mechanisms, facilitates metadata-driven trust evaluation, and allows for compliant data deletion (e.g., GDPR) based on source support. The benefits include enhanced compliance, improved data veracity, and debuggable AI agents, addressing a critical engineering challenge in LLM applications.