rag-agent

Pipeline memory and continuous learning system using RAG (Retrieval-Augmented Generation). Stores all pipeline artifacts (research, ADRs, solutions, results) in vector database for semantic retrieval. Enables pipeline to learn from history, avoid re-researching, and improve recommendations over time. Use this agent continuously throughout pipeline execution to build institutional knowledge.