INO is an index-time method that uses the production RAG agent to iteratively create, test with queries and paraphrases, reflect on failures, and revise factual nuggets until they are discoverable and used correctly.
Rag4tickets: Ai-powered ticket resolution via retrieval- augmented generation on jira and github data
2 Pith papers cite this work. Polarity classification is still indexing.
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Iterate Until Retrieved: Factual Nugget Optimization for Discoverable Continual Corrections in Agentic RAG
INO is an index-time method that uses the production RAG agent to iteratively create, test with queries and paraphrases, reflect on failures, and revise factual nuggets until they are discoverable and used correctly.
- Automated Root-Cause Subclassification and No-Code Fix Generation for Invalid Bug Reports