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Enterprises generate and store large amounts of multimodal data, including text, charts, tables, and infographics. Traditional search systems focus primarily on text, leading to overlooked insights. NVIDIA’s AI Blueprint for Retrieval-Augmented Generation (RAG), powered by NeMo Retriever, addresses this challenge by enabling faster and more accurate enterprise data retrieval.
Enhanced Multimodal Data Extraction
The AI Blueprint for RAG supports the extraction of insights from various data types beyond just text. It utilizes NVIDIA NIM models, optimized for GPU acceleration, to process structured and unstructured enterprise documents, including PDFs, reports, and infographics.
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Key Benefits
- Extracts key information from charts, tables, and images
- Delivers 15x faster multimodal data processing
- Preserves semantic structure for improved search accuracy
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Optimized Search and Retrieval Performance
Once data is extracted, it needs to be indexed and retrieved efficiently. The blueprint integrates NeMo Retriever microservices, which optimize embedding and reranking, ensuring accurate and high-speed search results.
- 3x faster embedding throughput for improved indexing
- 1.6x better reranking efficiency for relevance optimization
- 7x faster indexing using GPU acceleration over CPU-based methods
Additionally, NeMo Retriever reduces incorrect responses by 50%, enhancing the reliability of AI-powered search systems.
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Enterprise Adoption and Real-World Impact
Several industry leaders have already implemented NVIDIA’s AI Blueprint for RAG.
Accenture: Integrated NeMo Retriever into its AI Refinery platform, cutting campaign development time from days to minutes.
DataStax: Enabled 10x faster semantic search for Wikipedia.
Deloitte & Cohesity: Improved document processing efficiency and knowledge retrieval.
VAST Data & NHL: Unlocked over 550,000 hours of historical game footage, enhancing content creation and sponsorship analysis.
Enterprise Deployment and Availability
The AI Blueprint for RAG is now available on AWS SageMaker, Google Cloud, and Azure Marketplace, making it accessible for enterprise use.
- Supports multilingual and cross-lingual retrieval
- Integrates with OpenAI-compatible APIs for easy adoption
- Offers a 90-day free trial for enterprises exploring AI-powered retrieval
With faster data extraction, smarter indexing, and more precise retrieval, NVIDIA’s AI Blueprint for RAG is set to redefine enterprise knowledge management.