Text Reranking NIM

NeMo Retriever Text Reranking NIM (Text Reranking NIM) reorders citations by how well they match a query. This is a key step in the retrieval process, especially when the retrieval pipeline involves citations from different datastores that each have their own algorithms for measuring similarity.

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Documentation for release documentation, deployment guides and more.

Security Vulnerabilities in Open Source Packages

Please review the Security Scanning tab 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.

Get Help

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

Governing Terms

The NIM container is governed by NVIDIA Agreements | Enterprise Software | NVIDIA Software License Agreement and NVIDIA Agreements | Enterprise Software | Product Specific Terms for AI Product; and the use of this model is governed by the ai-foundation-models-community-license.pdf.

Additionally, the NIM container supports the following models with additional license info:

• NV-RerankQA-Mistral4B-v3: Apache license.

You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.