AI Engineering
Case Study: How a $240K RAG Failure Teaches Us What Not To Do
An in-depth analysis of a real-world RAG system failure in the legal industry, and the architectural lessons every AI engineer should learn from it.
How we combine specialized models, route intelligently, and build ensemble systems that outperform any single model approach.
An in-depth analysis of a real-world RAG system failure in the legal industry, and the architectural lessons every AI engineer should learn from it.
Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
Why response_format isn't enough, and the validation pipeline that catches the 3% of malformed outputs that will break your production system.
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