An architecture for engineering AI context
Ensuring reliable and scalable context management in production environments is one of the most persistent challenges in applied AI systems. As organizations move from experimenting with large language models (LLMs) to embedding them deeply into real applications, context has become the dominant bottleneck. Accuracy, reliability, and trust all depend on whether an AI system can…