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.
Real infrastructure patterns for high-volume LLM applications: queue management, intelligent retries, request batching, and graceful degradation.
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 examples of prompt injection attempts against our enterprise AI products, from naive attacks to sophisticated multi-step exploits.
How we built a memory system that lets our AI agents remember context across months of interactions without blowing up costs or latency.
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