Multimodal RAG: when summary-based stops being enough
📰 Dev.to AI
A SaaS founder pinged us last quarter with a complaint that sounded familiar. Their AI assistant, built on top of a research-paper knowledge base, kept giving answers like "the chart shows a positive trend in Q3 revenue" instead of saying "Q3 revenue was 4.2 million, up 18% from Q2." The retrieval was finding the right page. The vision LLM was rendering a coherent response. The pipeline did exactly what it was designed to do. The problem was that the design itself was lossy by construc
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A SaaS founder pinged us last quarter with a complaint that sounded familiar. Their AI assistant, built on top of a research-paper knowledge base, kept giving answers like "the chart shows a positive trend in Q3 revenue" instead of saying "Q3 revenue was 4.2 million, up 18% from Q2." The retrieval was finding the right page. The vision LLM was rendering a coherent response. The pipeline did exactly what it was designed to do. The problem was that the design itself was lossy by construc
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