Building Production RAG Systems: Beyond the Demo
Why 90% of RAG proofs-of-concept fail in production and how to engineer retrieval systems that actually work at enterprise scale.
Technical insights, lessons learned, and thought leadership on AI engineering, software architecture, and enterprise modernisation.
Why 90% of RAG proofs-of-concept fail in production and how to engineer retrieval systems that actually work at enterprise scale.
A technical deep-dive into building stateful, multi-agent systems for enterprise workflows using LangGraph and Claude.
How to progressively modernise complex legacy estates without the risk of big-bang rewrites.
Monitoring, tracing, and debugging production LLM applications. Building confidence in non-deterministic systems.
Practical patterns for integrating AI coding assistants into enterprise development workflows.
Enhancing Microsoft business applications with intelligent automation and natural language interfaces.
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