World-class multimodal question-answering retrieval.
Multimodal Embedding NIM
NeMo Retriever Multimodal Embedding NIM (Multimodal Embedding NIM) brings the power of state-of-the-art text embedding models to your applications, offering unparalleled natural language processing and understanding capabilities. You can use Multimodal Retriever NIM for semantic search, Retrieval Augmented Generation (RAG) pipelines, or any application that uses multimodal embeddings. Multimodal Embedding NIM is built on the NVIDIA software platform, incorporating CUDA, TensorRT, and Triton to offer out-of-the-box GPU acceleration.
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more.
Security Vulnerabilities in Open Source Packages
Please review the Security Scanning tab on NGC to view the latest security scan results.
For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
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Governing Terms
The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for AI Products. Use of this model is governed by the NVIDIA Community Model License. .
ADDITIONAL INFORMATION: Llama 3.2 Community License Agreement. Built with Llama.
You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.