overseas expansion and architecture / TOKEN WIKI
RAG / search enhancement generation
In one sentence
RAG retrieves relevant content from external data before generation, and then hands the data and questions to the model to supplement the context.
Why it matters
The effect depends on the quality of the data, retrieval, sorting, prompts and reference constraints, which does not mean that the model permanently remembers the document.
Practical considerations
evaluates retrieval hits, answer basis, permission filtering and update mechanisms while recording additional input costs. Can
FAQ
RAG completely eliminate hallucinations?
No, it needs to combine data quality, evaluation and necessary manual verification.
