The RAG Pattern

1. What are the three main steps in the RAG process?

Retrieve, Translate, Generate Retrieve, Ground, Generate Review, Ground, Generate Retrieve, Ground, Teach

2. Why is Retrieval-Augmented Generation (RAG) preferred over fine-tuning for updating knowledge?

It can process larger models seamlessly It allows for real-time updates without retraining It generates more creative responses It is better for generating fictional content

3. What advantage does RAG provide in terms of traceability?

It uses external databases extensively It blends data into model weights It can point to the exact passage behind each claim It provides in-depth analytical reports

4. Which of the following is a reason RAG can decline to answer a query?

It doesn't recognize the user It fails to find relevant retrieved passages It is designed to avoid negative responses It requires additional training

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