Poor Retrieval Quality is killing Enterprise AI Projects in Pharma and Finance (but fine-tuned embedding models can help)
Enterprises across industries are building Retrieval-Augmented Generation (RAG) systems to help employees query their internal knowledge bases and get precise, context-aware answers. But a critical bottleneck continues to derail many of these projects — poor retrieval quality. When a RAG system retrieves irrelevant or incomplete context, the large language model (LLM) generates inaccurate or vague […]