RAG Quality Recovery
Your RAG Is Live. Your Users Are Complaining. We Fix Production RAG.
Hundreds of SaaS companies shipped RAG features in 2024–25. Most shipped the happy path. Now users are complaining about wrong answers, irrelevant results, or confident-sounding nonsense. The team that built the prototype can't diagnose it at scale. The problem usually isn't the model — it's the chunking strategy that made sense in testing and breaks on real documents, the embedding model that worked on 100 docs and degrades on 10,000, the retrieval pipeline with no quality monitoring. These problems compound quietly until churn starts to show.
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 Optimisation
Query-level latency profiling, bottleneck identification, caching strategy, infrastructure right-sizing. Fast RAG that's also accurate.
What You Get
We've built production RAG from inside a startup and know where it breaks at scale. 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. We run the audit first, surface the root causes, and then implement the fixes that will actually move the numbers.
How to Start
Free 30-min Call
We show you 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 prioritisation 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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