RAG Quality Recovery
Your RAG Is Live. Your Users Are Complaining. We Fix Production RAG.
Most RAG features shipped the happy path. Now users are getting wrong answers and confident nonsense, and the team that built the prototype can't see why. The model is rarely the problem. It's usually chunking that breaks on real documents, or an embedding model that was fine at a hundred docs and isn't at ten thousand. And since nobody is measuring retrieval quality, it degrades quietly.
What We Find
RAG Quality Audit
Measure what you actually have: hallucination rate, retrieval relevance, coverage gaps, latency per query type. Root cause analysis across chunking, embedding model choice, vector database configuration, and guardrails.
Retrieval Pipeline Fixes
Re-chunking with improved strategies. Embedding model evaluation and migration where needed. Hybrid search implementation (semantic + keyword) where pure semantic retrieval is failing.
Guardrails & Quality Monitoring
Citation checking, confidence thresholds, human escalation triggers. Caching for repeated queries. Ongoing quality monitoring so you know when retrieval quality drifts before users do.
Latency Optimization
Query-level latency profiling, bottleneck identification, caching strategy, infrastructure right-sizing. Fast RAG that's also accurate.
What You Get
Built from firsthand experience shipping production RAG inside a startup — the diagnosis comes before the fix. Most RAG problems have a specific root cause that's faster to fix once identified than to throw general improvements at. The audit surfaces root causes first, then targeted fixes move the numbers.
How to Start
Free 30-min Call
A look at quality and latency monitoring in a live RAG system — what the instrumentation looks like and what it surfaces.
RAG Audit ($5K–$8K, 1–2 weeks)
RAG Health Report: hallucination rate baseline, retrieval relevance scoring, root cause analysis, fix prioritization with effort and impact estimates.
Remediation ($15K–$30K, 3–6 weeks)
Re-chunking, hybrid search, guardrails, caching, quality monitoring. Production RAG that works at the scale you actually have.
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