Why retrieval quality is becoming the defining challenge in AI agent architecture

Retrieval quality is becoming a major challenge in AI agent architecture due to failures in building context and producing answers or actions. This is a significant issue as it affects the overall performance and reliability of AI systems. To address this, developers need to focus on improving retrieval quality. This requires a deeper understanding of how context is built and used in AI systems.