Audience

Enterprise developers and data scientists searching for a tool to build scalable, high-accuracy AI applications

About NVIDIA NeMo Retriever

NVIDIA NeMo Retriever is a collection of microservices for building multimodal extraction, reranking, and embedding pipelines with high accuracy and maximum data privacy. It delivers quick, context-aware responses for AI applications like advanced retrieval-augmented generation (RAG) and agentic AI workflows. As part of the NVIDIA NeMo platform and built with NVIDIA NIM, NeMo Retriever allows developers to flexibly leverage these microservices to connect AI applications to large enterprise datasets wherever they reside and fine-tune them to align with specific use cases. NeMo Retriever provides components for building data extraction and information retrieval pipelines. The pipeline extracts structured and unstructured data (e.g., text, charts, tables), converts it to text, and filters out duplicates. A NeMo Retriever embedding NIM converts the chunks into embeddings and stores them in a vector database, accelerated by NVIDIA cuVS, for enhanced performance and speed of indexing.

Integrations

API:
Yes, NVIDIA NeMo Retriever offers API access

Ratings/Reviews

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Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/nemo-retriever

Videos and Screen Captures

NVIDIA NeMo Retriever Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

NVIDIA NeMo Retriever Frequently Asked Questions

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NVIDIA NeMo Retriever Product Features