Maintain RAG embeddings with OpenAI, Postgres and auto drift rollback

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Overview This workflow implements a self-healing Retrieval-Augmented Generation (RAG) maintenance system that automatically updates document embeddings, evaluates retrieval quality, detects embedding drift, and safely promotes or rolls back embedding updates. Maintaining high-quality embeddings in production RAG systems is difficult. When source documents change or embedding models evolve, updates can accidentally degrade retrieval quality or introduce semantic drift. This workflow solves tha