Customer-specific RAG in an FDE engagement starts with a customer request, messy data, and a need to ship something reliable. This course shows how to turn that situation into a retrieval system with clear requirements, grounded answers, customer-shaped evaluation, and production guardrails. It is aimed at forward-deployed engineers, product teams working with embedded customers, and anyone who needs to make RAG work in a specific environment rather than in a demo.
The course covers requirements discovery, data inventory, indexing strategy, retrieval and reranking, answer grounding, and evaluation against customer definitions of correctness. It also addresses deployment architecture, monitoring, debugging hallucinations and misses, a healthcare prior auth case study, and post-launch iteration with customer feedback.