Production-grade agents live or die on data plumbing, controls, and observability—not on model choice. The doc-to-chat pipeline below maps the concrete layers and why they matter. What is a “doc-to-chat” pipeline? A doc-to-chat pipeline ingests enterprise documents, standardizes them, enforces governance, indexes embeddings alongside relational features, and serves retrieval + generation behind authenticated APIs with human-in-the-loop (HITL) checkpoints. It’s the reference architecture for agentic Q&A, copilots, and workflow automation where answers must respect permissions and be audit-ready. Production implementations are variations of RAG (retrieval-augmented generation) hardened with LLM guardrails, governance, and OpenTelemetry-backed tracing. How do you integrate cleanly with the…