Why your RAG system keeps failing in production
Most enterprise RAG deployments look impressive in demos and disappoint in practice. The gap between a working prototype and a reliable production system is where the real engineering and strategic decisions happen.
Go deeper, free lessons
Retrieval-augmented generation (RAG): giving models your data
Evaluating outputs: how do you know it works?
Agentic RAG: retrieval inside the agent loop
Choosing the right approach: prompt, RAG, fine-tune, or agent
Hallucinations and verification in high-stakes work
Full transcript: https://www.mba-training.com/en/podcast/ai/rag-system-production-failures…
The skinny
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