Multimodal Reranking NIM

NeMo Retriever Multimodal Reranking NIM (Multimodal 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 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.

Get Help

NVIDIA Developer Community Forum

For support, Visit the NVIDIA Developer Community Forum

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.

End of Support — "This artifact is no longer supported. NVIDIA strongly recommends artifacts that are up to date and supported"