Most RAG failures are retrieval failures. Invest in chunking strategy, metadata quality, and query rewriting before model-level tuning.
Understanding RAG Architecture
Add observability from day one. Track retrieval hit rate, citation accuracy, latency percentiles, and user feedback to catch regressions early.
Chunking Strategies
Use staged rollouts with fallback behavior. If retrieval confidence is low, route to human review or ask a clarifying question instead of generating risky outputs.
Observability & Monitoring
Build comprehensive dashboards to track key metrics: retrieval hit rates, citation accuracy, latency percentiles, and user satisfaction signals.
Your AI build starts with a conversation.
A real conversation about your business, the problems worth solving, and whether Pinnasys is the right partner to solve them. If we’re not the right fit, we’ll tell you that too.
