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Step 15

Feedback Loop

Feeds findings back to improve all stages.

What It Does

The feedback loop takes learnings from monitoring, user feedback, and evaluation to make iterative improvements throughout the pipeline. It includes adding missing content, refining chunking strategies, updating embeddings, fine-tuning models, and enhancing prompts based on real-world usage patterns.

Why It Matters

No RAG system is perfect from the start. The feedback loop is how your system evolves and adapts to changing needs and expectations. By actively incorporating feedback, you can address content gaps, improve retrieval accuracy, enhance answer quality, and ensure your system remains relevant and effective as requirements change.

Common Challenges

  • Collecting meaningful feedback from users who may not always provide explicit ratings
  • Analyzing diverse feedback data to identify actionable improvements
  • Avoiding regressions when implementing changes to fix specific issues
  • Balancing qualitative insights with quantitative metrics
  • Establishing organizational processes for continuous improvement
  • Prioritizing improvements when feedback points in multiple directions

Interactive Demo

feedbackLoop.feedbackForm

feedbackLoop.provideFeedback

feedbackLoop.bestPractices

feedbackLoop.collectDiverseFeedback

feedbackLoop.collectDiverseDescription

feedbackLoop.analyzeRegularly

feedbackLoop.analyzeRegularlyDescription

feedbackLoop.implementIterative

feedbackLoop.implementIterativeDescription

feedbackLoop.whyMatters

feedbackLoop.whyMattersDescription

Skip the Complexity

Building a robust Feedback Loop solution is challenging. Respeak's Enterprise RAG Platform handles this complexity for you.

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