According to DeepLearning.AI, building a reliable Retrieval Augmented Generation (RAG) system requires more than just effective retrieval and generation; observability is crucial. Their Retrieval Augmented Generation course highlights how LLM observability platforms enable users to trace prompts throughout each stage of the AI pipeline, log and evaluate system behaviors, and quickly identify bottlenecks or errors. This concrete approach enhances transparency and reliability in enterprise AI applications, creating new business opportunities for companies seeking robust AI solutions (Source: DeepLearning.AI, Twitter, August 16, 2025).