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title: Citation Needed: Provenance for LLM-Built Knowledge...
description: A conference talk by Daniel Chalef of Zep AI covering the challenge of data provenance in LLM-built knowledge graphs. LLMs synthesize facts...
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# Citation Needed: Provenance for LLM-Built Knowledge Graphs — Daniel Chalef, Zep AI

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 20 min read · 1 upvotes · 1 comments

## Summary

A conference talk by Daniel Chalef of Zep AI covering the challenge of data provenance in LLM-built knowledge graphs. LLMs synthesize facts non-deterministically from multiple sources, destroying the paper trail of how outputs were derived. The talk introduces Graphiti, an open-source temporal graph framework, which models provenance by linking derived facts back to their source episodes as graph relationships. Key topics include: handling entity merges while preserving source links, metadata tagging for veracity filtering, partial deletion under GDPR/right-to-be-forgotten policies, and the engineering pipeline for entity extraction, deduplication, and fact deconfliction. The core argument is that lineage must be built into the data structure itself rather than logged after the fact.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=H7puB0RwJMM>

## Community discussion

Top comments from developers on daily.dev.

**@agustinbarrientos** · 0 upvotes

> After deleting one source, what happens to the identity and edges of an entity merged from several episodes?

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