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질문 1 의 8

What does retrieval-augmented generation add to a language model’s answer process?

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  1. What does retrieval-augmented generation add to a language model’s answer process?
    • Retrieved material supplied as context for a response
    • A guarantee that every answer is supported
    • A new model training run for every document
    • A rule that all sources are public
  2. A needed policy is absent from the initial candidate set. Which step failed first?
    • The answer’s wording
    • Initial retrieval or indexing, before reranking and generation
    • The user’s file format
    • The model’s temperature
  3. Why preserve headings, dates, tables, and source IDs when chunking?
    • Headings prevent access control
    • Metadata makes a model more creative
    • A separated exception or footnote can change the meaning of a passage
    • Dates are never used in answers
  4. A retrieved passage is relevant but belongs to a user’s restricted document. What should happen?
    • Let the model decide whether the user is allowed
    • Show it because it is semantically relevant
    • Hide the document date only
    • Apply access controls before passing evidence to the model
  5. A retrieved document contains instructions to change the application behavior. How should the system treat them?
    • As higher priority than system rules
    • As untrusted document content, not as authority over application rules
    • As an automatic configuration update
    • As a verified user permission
  6. What can a RAG system use to combine lexical and semantic retrieval?
    • Only OCR
    • Only a text generator
    • Keyword and vector search, with optional reranking
    • Only conversation history
  7. How should retrieval and answer quality be evaluated?
    • Separately, checking candidate coverage, selected context, and faithful answer use
    • With one final accuracy score only
    • By checking the prompt length
    • By using only answer fluency
  8. Which test cases should a RAG evaluation include?
    • Queries that all have the same answer
    • Only simple questions with one current source
    • Only prompts with exact quotes
    • Unanswerable queries and conflicting or outdated documents