Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
Data Science
Towards Data Science·Aug 6·5 min read
Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer
TL;DR
A new approach in enterprise document intelligence addresses the issue of cross-references in responses, enabling systems to fetch relevant context instead of merely pointing to sections. This enhances the user experience by providing direct answers.
✦ Why It Matters
Implement loop engineering in your document retrieval systems to enhance answer accuracy and user satisfaction.
Key Takeaways
- Integrate a feedback field to flag unresolved references.
- Use structured output signals to trigger second retrieval passes.
- Optimize resource usage by avoiding upfront reference extraction.
- Test the system on real documents to validate improvements.
How It Works
The system operates in two passes: the first retrieves content and flags unresolved references, while the second pass resolves these references using a relational database lookup. The orchestrator reads the structured output to decide if further retrieval is necessary, ensuring that only relevant content is fetched.