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The author discusses challenges in handling conflicting information from different sources such as Jira, Confluence, and GitHub when building AI agents.
This paper presents a system that automatically discovers an executable schema from raw multi-source data and uses it for knowledge graph construction and query-time retrieval, improving over baselines on QA benchmarks.