AI Gives Wrong Answers Despite Having Documents: Where Should You Investigate?
A practical guide to diagnosing wrong AI and RAG answers across source documents, ingestion, chunking, embeddings, retrieval, reranking, prompts, citations, and evaluation.
When AI gives a wrong answer despite having the correct documents, the failure may be in source data, ingestion, chunking, metadata, embeddings, retrieval, reranking, permissions, memory, prompt assembly, citations, or generation.
When AI gives a wrong answer despite having the correct documents, the failure may be in source data, ingestion, chunking, metadata, embeddings, retrieval, reranking, permissions, memory, prompt assembly, citations, or generation.
Core principle
Before changing the model, prove that the correct document was ingested, the correct chunk was retrieved, and the final prompt actually contained the right evidence.
Investigation
An evidence-based step in diagnosing wrong RAG answers
Trace the failure from source documents through retrieval, context assembly, generation, citations, and evaluation.
When AI gives a wrong answer despite having the correct documents, the failure may be in source data, ingestion, chunking, metadata, embeddings, retrieval, reranking, permissions, memory, prompt assembly, citations, or generation.
