Using Retrieval-Augmented Generation for Trustworthy LLMs

Large language models have moved quickly from research demos to production systems, and technology teams in regulated industries are now being asked to put them to work. The underlying technology is genuinely useful, but it behaves very differently from the systems most of us are used to architecting and building. A model does not read … Continue reading Using Retrieval-Augmented Generation for Trustworthy LLMs

Understanding Memory Management in Agentic Systems

If you have been working with LLMs or building agentic systems, you have probably noticed something that feels counterintuitive at first: the model doesn't actually remember anything. Every call to the API starts from scratch. The continuity we experience when using tools like Claude or ChatGPT is not a property of the model itself - … Continue reading Understanding Memory Management in Agentic Systems