NVIDIA NeMo Retriever
Collection of industry-leading Nemotron RAG models delivering 50% better accuracy, 15x faster multimodal PDF extraction, and 35x better storage efficiency for building enterprise-grade retrieval-augmented generation pipelines.
About this tool
Overview
NVIDIA NeMo™ Retriever is a collection of industry-leading Nemotron RAG models delivering 50% better accuracy, 15x faster multimodal PDF extraction, and 35x better storage efficiency, enabling enterprises to build retrieval-augmented generation (RAG) pipelines.
Microservices Architecture
NeMo Retriever is a collection of microservices that present a single API for indexing and querying of user data, using specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, and images for downstream generative applications.
Performance Improvements
- 15x throughput increase in multimodal data extraction
- 3x better embedding throughput
- 1.6x better reranking throughput compared to open-source alternatives
- Capable of processing hundreds of thousands of documents at scale
Enterprise-Ready Capabilities
NeMo Retriever exhibits a high level of accuracy when retrieving across various modalities through enterprise documents. The NVIDIA RAG Blueprint is a reference solution and foundational starting point for building Retrieval-Augmented Generation (RAG) pipelines with NVIDIA NIM microservices, designed to be decomposable and configurable for enterprise needs.
Use Cases
- AI chatbots
- Customer service applications
- Security analysis
- Supply chain insights
Pricing
Enterprise pricing available through NVIDIA AI Enterprise.
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