Most RAG Hallucinations Are Extraction Errors: Seven Patterns for a Typed Generation Contract

RAG failures are more accurately described as extraction errors than hallucinations, since the LLM reads the provided context. The post presents seven patterns for treating LLM generation as filling a typed Pydantic contract rather than returning free-form strings. Key patterns include: returning structured objects with citations and self-assessment flags instead of text strings, separating extraction from computation (LLM extracts, Python computes), using structural document boundaries for completeness checks, replacing a single confidence float with two booleans (answer_found, complete_answer_found), composing prompts from named fragments for auditability, avoiding reasoning models for schema-constrained extraction, and decomposing compound schemas into sequential calls for smaller models. The approach is applicable across sectors wherever auditable, typed answers are required.

Nguồn: https://towardsdatascience.com/most-rag-hallucinations-are-extraction-errors-seven-patterns-for-a-typed-generation-contract. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.