Technology
NeMo Retriever
NVIDIA NeMo Retriever is the microservice collection for building high-accuracy, enterprise-grade Retrieval-Augmented Generation (RAG) pipelines, delivering up to 35x better storage efficiency.
NeMo Retriever is your secure, scalable foundation for RAG applications. Built with NVIDIA NIM, it provides specialized microservices for end-to-end data processing: extraction, embedding, and reranking. It handles multimodal data—text, tables, and images—from proprietary documents, ensuring data privacy. The system delivers significant performance gains: expect up to 2X throughput for fast retrieval and 50% better accuracy for your LLMs. Leading partners like Cohesity leverage the reranking model to reduce retrieval errors by 13%. Deploy NeMo Retriever to connect your generative AI models directly to enterprise knowledge bases at scale.
What builders pair with NeMo Retriever
Projects using both technologies. Select a pairing to see a project.
Pairing: Embedding
Oracle & NVIDIA AI‑Q: A Blueprint for High‑Performance Research Automation
Pairing: Embeddings
Oracle & NVIDIA AI‑Q: A Blueprint for High‑Performance Research Automation
Pairing: Inference
Oracle & NVIDIA AI‑Q: A Blueprint for High‑Performance Research Automation
Pairing: NVIDIA AI Enterprise
Oracle & NVIDIA AI‑Q: A Blueprint for High‑Performance Research Automation
Pairing: Oracle Database 26ai
Oracle & NVIDIA AI‑Q: A Blueprint for High‑Performance Research Automation
Pairing: Oracle Vector Search
Oracle & NVIDIA AI‑Q: A Blueprint for High‑Performance Research Automation
Recent Talks & Demos
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