How we transformed a slow, costly RAG system into a high-performance production service by optimizing every layer of the stack. This case study shares specific techniques, measurements, and code that reduced P95 latency from 2000ms to 800ms.
Production RAG systems handle sensitive data and require comprehensive security measures. This post shares hard-earned lessons from securing RAG deployments at scale, covering authentication, input validation, data privacy, and threat mitigation.
Optimizing RAG pipeline performance requires understanding bottlenecks across embedding generation, vector search, and LLM inference. This guide provides proven techniques for achieving production-grade performance at scale.