Unverified50% confidenceSolutionExact time
A professional RAG pipeline should place condition identification before retrieval, first clarifying the user's country, account type, and business scenario, then narrowing the retrieval scope to the corresponding knowledge subset.
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Long-term
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10/6/2026
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Related Claims
UnverifiedTraditional retrieval-augmented generation (RAG) approaches are passive, only retrieving relevant content when a query is received, triggered externally, with the model itself not deciding what or when to retrieve.73% similarUnverifiedCRAG adds an evaluation-and-correction mechanism on top of standard RAG: it first scores the relevance of retrieved documents, and if the score falls below a threshold, it triggers corrective steps such as web search or query rewriting.72% similarUnverifiedRetrieval is the most critical step in RAG; if the knowledge matching is wrong, all subsequent steps are wasted.71% similarUnverifiedTaking RAG as an example, interviewers will follow up by asking why Fine-tuning was not used, how to optimize when retrieval recall rate is low, and which vector database was used and why.71% similar
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