Why Conversation Memory Is Essential for Accurate RAG Retrieval

This experiment demonstrates that conversation memory is critical for RAG systems to maintain domain focus and resolve contextual ambiguity in multi-turn conversations. Without memory, search queries become vague and drift toward off-topic results—a critical failure in specialized domains like legal compliance where precision is non-negotiable. For Copilot Studio users building AI assistants, enabling conversation memory isn't optional; it's fundamental to ensuring reliable information retrieval.