Context Engineering: Beyond the LLM Window

Course Outline

In this course, we’ll briefly touch on how to increase and enrich context using methods such as Retrieval-Augmented Generation (RAG), Knowledge Graphs, and Contextual Memory Systems. Each approach addresses the limitations of LLMs' native context windows by bringing in external knowledge, structuring relationships between data points, and preserving personalized or session-based information—laying the groundwork for building AI systems that deliver more accurate, coherent, and deeply informed responses.