Why RAG is failing your AI agents (and what trust scoring fixes)

Dev.to AI
Generative AI

Explain that most RAG (Retrieval-Augmented Generation) is "dumb." It finds a document that looks like your query and shoves it into the prompt. If that document is wrong, or outdated, the agent follows it anyway. Explain the Memoire Three-Signal Model: Quality: Was this good when we wrote it? Experience: Has it actually worked in past tasks? Stability: Is the trust score converging or is the agent constantly failing when it uses this? End with the MCP one-liner. People love things they can install in thirty seconds.