Your RAG System Might Be Confidently Wrong

A lead software engineer argues that AI agents fail due to the system around the LLM, not the LLM itself. RAG systems can produce confident but incorrect answers when retrieval or context handling is flawed. Builders must focus on the retrieval pipeline and system architecture to improve reliability.