Monitoring RAG in Production — What to Track When Your Chatbot Goes Live
Build comprehensive monitoring for RAG systems tracking retrieval quality, generation speed, user feedback, and cost metrics to detect quality drift in production.
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Build comprehensive monitoring for RAG systems tracking retrieval quality, generation speed, user feedback, and cost metrics to detect quality drift in production.
Transform user queries to improve retrieval with rewriting, HyDE, step-back prompting, and multi-hop decomposition techniques that boost RAG accuracy.
Understand why vector similarity ranks poorly, how cross-encoder rerankers fix it, and implement production-grade reranking with latency optimization.
Deploy Node.js, Python, and Go backends on Railway with zero configuration. Manage Postgres, Redis, and services from a unified dashboard.
User saves their profile. Page reloads. Shows old data. They save again — same thing. The write went to the primary. The read came from the replica. The replica is 2 seconds behind. Read-after-write consistency is the hardest problem with read replicas.