Context engineering in AI product development: The systemic approach
How context engineering makes AI agents reliable through four pillars: data flow, tool integration, memory architecture, and format optimization.
            
        How context engineering makes AI agents reliable through four pillars: data flow, tool integration, memory architecture, and format optimization.
            
        Highlights 1. Ever wondered why your AI gives confident but wrong answers? The problem often lies in choosing between lexical search and semantic search, when the real breakthrough comes from combining both. 2. The hybrid RAG architecture blends lexical precision with semantic intelligence to deliver responses that are accurate, relevant,