How to Create Powerful LLM Applications with Context Engineering

Context engineering is a method for increasing the effectiveness of LLM applications by optimizing the information provided to the model. Key techniques include prompt structuring, which organizes instructions for clarity, and context window management, which involves keeping inputs concise and using context compression to summarize information. The approach also advocates for supplementing Retrieval-Augmented Generation (RAG) with traditional keyword searches to improve the relevance of retrieved documents. Evaluating these context strategies through A/B testing, observability tools, and manual inspection is essential for improving system performance.