Definition
Completeness refers to the degree to which an LLM-generated response addresses all components of a user's query using the entirety of the relevant retrieved context. In RAG architectures, it represents the ratio of identified ground-truth facts in the context that were successfully synthesized into the final output, often involving a trade-off between exhaustive detail and response latency.
Distinguishes 'information coverage' from 'faithfulness' (hallucination-free) or 'relevance' (alignment with intent).
"A Jigsaw Puzzle: Ensuring every relevant piece found in the box (retrieved context) is actually placed on the table to reveal the full picture for the user."
Conceptual Overview
Completeness refers to the degree to which an LLM-generated response addresses all components of a user's query using the entirety of the relevant retrieved context. In RAG architectures, it represents the ratio of identified ground-truth facts in the context that were successfully synthesized into the final output, often involving a trade-off between exhaustive detail and response latency.
Disambiguation
Distinguishes 'information coverage' from 'faithfulness' (hallucination-free) or 'relevance' (alignment with intent).
Visual Analog
A Jigsaw Puzzle: Ensuring every relevant piece found in the box (retrieved context) is actually placed on the table to reveal the full picture for the user.