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AI Insights

Best RAG Implementation Partners for Mid-Market Enterprises: 9 Firms Scored by Time-to-Value

Research firm Galileo analyzed several production RAG systems and found that fixing retrieval-focused failure points improved answer quality by 10 to 30 percentage points. Most enterprise RAG failures cluster around retrieval quality, data and permissions hygiene, evaluation gaps, and unrealistic expectations about drop-in accuracy. The LLM is rarely the problem. Addressing missing or outdated content alone improved factual correctness by up to 20 percentage points.