context-engineering ai-agents rag
7 context engineering techniques for production
Seven context engineering techniques used in production AI systems, with implementation patterns and research on when each one works.
JP ·
Definition
RAG (Retrieval-Augmented Generation): A technique that retrieves relevant documents or data at inference time and injects them into the model's context window before generating a response.
Seven context engineering techniques used in production AI systems, with implementation patterns and research on when each one works.
GPT-5.2 hallucinate at 10.8%, o3-pro at 23.3%. The fix has less to do with better models and more to do with better context engineering.
RAG is a context-building strategy, not magic. Research shows 70% of retrieved passages miss the mark. Learn why naive retrieval produces poor context and what actually works.