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RAG and RAU: A Survey on Retrieval-Augmented
- kovezd 2y agoWhat I found interesting was the fifth section that describes the strategies to improve RAG performance. Basically: 1. Quality control. What documents to include? 2. Timing. When to query? 3. Pre & post processing. Improve LLM outputs based on retrieved data. 4. End to end training. Expensive, and data intensive but possibly the best long-term approach. 5. Controller. An interesting idea with similarities to Reinforcement Learning. I wonder what are your thoughts. Which one is most promising? What has been your experience when building RAG apps? Also, is RAG the leading architecture for building applications?