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.
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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.
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.
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.
Enterprise pricing available through NVIDIA AI Enterprise.