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NVIDIA NeMo Retriever

NVIDIA NeMo Retriever is a collection of microservices that present a single API for indexing and querying of user data. NeMo Retriever uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, and images that you can use in downstream generative applications. It is a collection of microservices for building and scaling multimodal data extraction, embedding, and reranking pipelines with high accuracy and maximum data privacy, built with NVIDIA NIM.

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4published use cases
2industries
2countries on record
Conversational AI
top AI capability

Evidence mix: High 4 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

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4 use cases

Financial ServicesPredictive AnalyticsGenerative AIConversational AI

Digital Bank Debunks Financial Fraud With Generative AI

European neobank bunq, with more than 12 million customers and 8 billion euros of deposits, built an automated, AI-powered transaction-monitoring system to detect fraud and money laundering, replacing labor-intensive rules-based systems with supervised and unsupervised learning. Using NVIDIA GPUs, bunq accelerated its data processing pipeline more than 5x and, using the open-source NVIDIA RAPIDS suite of GPU-accelerated data science libraries, trained its fraud-detection model nearly 100x faster, improving model accuracy and reducing false positives. Bunq is also exploring NVIDIA NeMo Retriever, part of NVIDIA NIM inference microservices, to improve the accuracy of Finn, its personal AI assistant powered by a proprietary large language model.

bunqNVIDIA GPUs · NVIDIA RAPIDS · NVIDIA AI Enterprise +2
Government & Public SectorRetrieval-Augmented GenerationNatural Language ProcessingConversational AI

WideLabs Justice Intelligence platform makes legal services more accessible for 8 million citizens in Rio Grande do Sul, Brazil

WideLabs built the Justice Intelligence platform for the Public Ministry of Rio Grande do Sul (MPRS) in Brazil, consisting of two AI agents — the TORI Investigation Assistant and the Archiving Intelligence Assistant — plus a Citizen Access Agent for the public. The platform uses NVIDIA NeMo Retriever for RAG pipelines, NVIDIA NIM microservices for deployment, NVIDIA NeMo Curator for document preprocessing, NVIDIA NeMo Customizer for domain-specific model tuning, and NVIDIA NeMo Guardrails for safety and consistency. The system went into full production in January 2025, serving more than 8 million citizens across 497 municipalities, and per MPRS deputy attorney general João Cláudio Pizzato Sidou, procedures that could last months or years can now be resolved or advanced in less than a day.

Public Ministry of Rio Grande do Sul (MPRS)· BrazilNVIDIA NeMo Retriever · NVIDIA NIM · NVIDIA NeMo Curator +3
Government & Public SectorDocument IntelligenceConversational AIGenerative AIAgentic AI

ThinkDeep's DeepBrain AI agents help automate public services for the French government

ThinkDeep AI developed DeepBrain, a multi-agent assistant platform for France's Ministry of Economy and Finance and Ministry of Defense, built on NVIDIA AI Enterprise (NIM, NeMo Retriever, NeMo Guardrails, Llama Nemotron models) running on-premises on NVIDIA DGX H100 systems to keep sensitive data within government infrastructure and comply with the EU AI Act. DeepBrain agents process millions of PDF documents, scanned images, schemas and videos for use cases including fraud detection and legal document processing. Document retrieval time fell from two days to two minutes, a typical 100-user deployment saves 1,000 work hours per month, and the Ministry of Finance has saved €2 million deploying DeepBrain at scale to 10,000 employees.

French Ministry of Economy and Finance· FranceNVIDIA AI Enterprise · NVIDIA NIM · NVIDIA NeMo Retriever +4