Artificial intelligence · University
Retrieval-augmented generation and evidence grounding · revision notes
Retrieval-augmented generation first retrieves relevant source material, then conditions generation on selected context. It does not automatically make every answer correct.
Key ideas and conditions
Pipeline
Retrieval-augmented generation first retrieves relevant source material, then conditions generation on selected context. It does not automatically make every answer correct.
Index
Chunking, document metadata and retrieval ranking influence what evidence reaches the model. Access controls must be applied before unauthorized material is retrieved.
Evidence
A useful citation points to a passage that actually supports the claim. Retrieval relevance and answer faithfulness should be evaluated separately.
Untrusted text
Retrieved documents are data, not instructions with authority over the application. Prompt injection risks require boundaries beyond just wording a prompt carefully.
Explain without looking
- What should an evidence-grounded system do when sources do not answer the question?
- Which citation check is essential?
Further reading and review references
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