Faithfulness, answer correctness, and citation quality
Words made simple
A few useful meanings before you read the explanation.
- RAG
- Find relevant information first, then give it to a model to help answer the question. The answer is only as reliable as the information and checks used.
- Retrieval
- Finding and fetching information that is useful for the current question.
- Grounding
- Connecting an answer to supplied evidence, such as a policy document or a verified database result.
More words from this lesson
- State
- The data describing where a workflow is now, what it already knows, and what still needs to happen.
- Evaluation
- Checking results against examples and clear criteria to find whether the system works well and where it fails.
Overview
- Faithfulness asks whether the answer is supported by supplied evidence.
- Correctness asks whether it is right for the task and real applicable facts.
- Citation quality checks whether references point to supporting sources, not merely existing documents.
Why this matters
An answer can faithfully quote an expired policy or correctly state a general fact without answering the customer's actual policy question.
An everyday example
An employee can accurately repeat an old handbook but still give the wrong current instruction.
A technical example
Score each material claim for evidence support, policy applicability, missing exceptions, and valid source reference.
How it works
- Break answer into checkable claims
- Map to eligible evidence
- Compare with reference outcome
- Grade completeness/applicability
- Inspect unsupported statements.
Architecture and flow
Answer + evidence + expected outcome → support/correctness/citation checks.
The insurance assistant example
“Flood damage is covered” fails if the customer's active endorsement excludes it, even if a generic brochure says otherwise.
When to use it
RAG, policy explanations, summaries, and extracted decision-support material.
When to avoid it
Do not use exact string matching as the only grader for open-ended answers.
Interview answer
“Faithfulness checks support from context; correctness checks the applicable answer. I also evaluate source validity, missing conditions, and abstention.”
Benefits, trade-offs, and production considerations
- Retrieval evaluation and answer evaluation need shared source-version fixtures.
- A checker trained only on easy grounded examples can miss subtle contradictions and numerical errors.
Can you explain it without the notes?
Faithfulness, answer correctness, and citation quality
Use your own words. Explain an example and one limitation before checking the explanation.
Check your explanation
Faithfulness asks whether the answer is supported by supplied evidence. Correctness asks whether it is right for the task and real applicable facts. Citation quality checks whether references point to supporting sources, not merely existing documents.
Turn this concept into a clear answer.
Practice this conceptAdapted from 13_AI.MD · “Faithfulness, answer correctness, and citation quality”. Examples are study fragments; framework behavior can depend on your version.