RAG End to End, No Gaps

1. What does RAG stand for in the context of retrieval-augmented generation?

Retrieval-Associated Generation Retrieval-Augmented Governance Retrieval-Augmented Generation Recursive-Augmented Generation

2. What is the first step in the ingestion phase of the RAG process?

Chunk the documents Embed each chunk Collect authoritative documents Store the indexed data

3. What is the purpose of the 'assemble the prompt' step during query time?

To generate an answer directly To encode the user's question only To combine the retrieved chunks and communicate specific instructions to the LLM To store the retrieved chunks for future use

4. Which of the following is a defense against the 'over-matching' failure mode in retrieval?

Strict context-only instructions Relevance thresholds and allowing 'I don't know' Using a higher temperature in generation Regular updates of chunked data

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