EY re-envisions RAG around multimodal knowledge graphs to improve accuracy

Retrieval-augmented generation is a standard way to ground large language models in enterprise information, but new research ...
InfoQ

Bridging Modalities: Multimodal RAG for Advanced Information Retrieval

Multimodal retrieval-augmented generation (RAG) enhances AI retrieval by integrating text, images, and structured data for deeper contextual understanding. A typical multimodal RAG pipeline consists ...
Visual Studio Magazine

See Prompts Microsoft Engineers Use for Bleeding-Edge Multimodal RAG AI Research

Everybody scrambling to get good at prompt engineering might want to take a look at a couple examples used by Microsoft engineers doing bleeding-edge research into the hot new field of multimodal ...
Geeky Gadgets

Unlock Next-Level RAG Performance with the Jina v4 Embedding Model

What if the key to unlocking next-level performance in retrieval-augmented generation (RAG) wasn’t just about better algorithms or more data, but the embedding model powering it all? In a world where ...