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Self-Grading RAG

Self-Grading RAG is an agentic architectural pattern where an LLM evaluates its own retrieved context for relevance and its generated output for faithfulness (hallucinations) before finalizing a response. It introduces a feedback loop that can trigger re-retrieval or alternative search strategies if the initial retrieval quality is deemed insufficient.

Definition

Self-Grading RAG is an agentic architectural pattern where an LLM evaluates its own retrieved context for relevance and its generated output for faithfulness (hallucinations) before finalizing a response. It introduces a feedback loop that can trigger re-retrieval or alternative search strategies if the initial retrieval quality is deemed insufficient.

Disambiguation

Distinguish from 'Manual Evaluation'; this is an automated, real-time quality gate within the production inference loop.

Visual Metaphor

"A student double-checking their exam answers against the textbook and rewriting them if they find a discrepancy before handing the paper to the teacher."

Conceptual Overview

Self-Grading RAG is an agentic architectural pattern where an LLM evaluates its own retrieved context for relevance and its generated output for faithfulness (hallucinations) before finalizing a response. It introduces a feedback loop that can trigger re-retrieval or alternative search strategies if the initial retrieval quality is deemed insufficient.

Disambiguation

Distinguish from 'Manual Evaluation'; this is an automated, real-time quality gate within the production inference loop.

Visual Analog

A student double-checking their exam answers against the textbook and rewriting them if they find a discrepancy before handing the paper to the teacher.

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