A user encountered an issue with a retrieval-augmented generation (RAG) copilot designed for document search. When asked to count documents authored by a specific person, the copilot provided an incorrect, lower number because it counted only the visible results after filtering and deduplication, rather than the true total from the database. This occurred because a single state field was used to store both the database's total count and the UI's displayed count, leading to the latter overwriting the former. The fix involved introducing a separate, immutable field to hold the authoritative database count, ensuring the LLM only narrates the number provided by the system of record. AI
IMPACT Highlights a common pitfall in RAG systems where LLMs incorrectly perform aggregations, necessitating careful state management.
RANK_REASON Article describes a bug in a specific software tool and its fix.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
