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Hands-On Lab Workshop: NVIDIA Blueprint PDF Ingestion
Join our Virtual Lab Workshop to explore the NVIDIA Blueprint: PDF Ingestion Lab. This exclusive, 100-person session dives into a powerful multimodal PDF data extraction workflow using NVIDIA NIM microservices. See how to unlock accurate insights from vast enterprise data and build AI agents, digital humans, or chatbots that become instant experts on your content. Experience how this workflow supercharges RAG applications with proprietary data. Follow along hands-on with the WWT Knowledge Assistant demo and engage in live Q&A.
NVIDIA Blueprint: Enterprise RAG
NVIDIA's AI Blueprint for RAG is a foundational guide for developers to build powerful data extraction and retrieval pipelines. It leverages NVIDIA NeMo Retriever models to create scalable and customizable RAG (Retrieval-Augmented Generation) applications.
This blueprint allows you to connect large language models (LLMs) to a wide range of enterprise data, including text, tables, charts, and infographics within millions of PDFs. The result is context-aware responses that can unlock valuable insights.
By using this blueprint, you can achieve 15x faster multimodal PDF data extraction and reduce incorrect answers by 50%. This boost in performance and accuracy helps enterprises drive productivity and get actionable insights from their data.
RAG Customized Multimodel Chatbot Demo
WWT's Knowledge Assistant, powered by NVIDIA's Multimodal PDF Data Extraction Blueprint, accelerates AI outcomes and minimizes hallucinations. Using retrieval augmented generation (RAG), build intelligent chatbots and AI agents that deliver accurate, context-rich insights from your enterprise data.