Why most AI applications fail long before the LLM
Hello John,
When AI projects underperform, the instinct is often to blame the language model.
In reality, the model can only reason over the information it receives. If retrieval returns incomplete, outdated, or irrelevant information, even the most capable LLM will produce poor results.
That's why many production AI systems aren't limited by generation—they are limited by retrieval.
Our new guide explains why Retrieval Engineering is emerging as a critical engineering discipline, and how leading organizations are redesigning retrieval workflows to improve relevance, freshness, latency, and cost.
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