Category: RAG Infrastructure

  • The Multimodal Retrieval Gap: Why Text-Only RAG Fails When 90% of Your Data Isn’t Text

    The Multimodal Retrieval Gap: Why Text-Only RAG Fails When 90% of Your Data Isn’t Text

    Your enterprise RAG system retrieves documents flawlessly. It returns precise answers from your knowledge base. Your retrieval metrics look solid. Then someone asks about the diagram in last quarter’s engineering review. Or wants to analyze customer service call recordings. Or needs insights from product demo videos. Your RAG system goes silent. This isn’t a failure…

  • ContentSummary

    ContentSummary

    This comprehensive article discusses the critical gap in retrieval quality evaluation within enterprise RAG systems. It introduces a three-layer evaluation framework—query-level, corpus-level, and attribution metrics—and outlines an 8-week plan to implement continuous monitoring. Emphasizing the importance of metrics like Recall@K, MRR, and NDCG, it provides practical guidance to build a measurement infrastructure that ensures retrieval…