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Breaking the RAG bottleneck: Scalable document processing with Ray Data and Docling

3 months ago 1 min read www.redhat.com

Summary: This is a summary of an article originally published by Red Hat Blog. Read the full original article here →

Enterprise teams often struggle with the "data bottleneck" when building generative AI (gen AI) applications like retrieval-augmented generation (RAG), as traditional document processing tools fail to handle thousands of complex documents efficiently. This blog post explores how a unified infrastructure—combining Ray Data for high-speed streaming and Docling for precise document parsing—removes these hurdles. By scaling these tools on platforms such as Red Hat Openshift AI or Anyscale, organizations can transform messy, unstructured data into actionable insights in hours rather than days,

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