Category: Multimodal RAG

  • Google Made RAG Multimodal. Here’s What Still Breaks It

    Google Made RAG Multimodal. Here’s What Still Breaks It

    Three years ago, every enterprise AI team I knew was obsessed with making chatbots stop hallucinating. The solution seemed obvious: plug retrieval-augmented generation into the pipeline and ground every answer in real documents. And for a while, it worked. Accuracy climbed, trust inched upward, and leaders started moving RAG from proof-of-concept to production. Then the…

  • The Multimodal Deception: Why DeepSeek’s Janus Pro Makes Visual RAG More Complex, Not Simpler

    The Multimodal Deception: Why DeepSeek’s Janus Pro Makes Visual RAG More Complex, Not Simpler

    When DeepSeek dropped Janus Pro in January 2025, the AI community erupted with predictable excitement. Another model outperforming DALL-E 3 on GenEval benchmarks. Another open-source alternative promising enterprise-grade multimodal capabilities at a fraction of the cost. Another proclamation that sophisticated AI models are making retrieval systems obsolete. But here’s what the benchmark celebrations are missing:…