Reranking NIM optimized for providing a logit score that represents how relevant a document(s) is to a given query, fine-tuned for multilingual and cross-lingual text question-answering retrieval.
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 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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NVIDIA Developer Community Forum
For support, Visit the NVIDIA Developer Community Forum
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 NVIDIA Community Model License.
ADDITIONAL INFORMATION: Llama 3.2 Community License Agreement.
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End of Support — "This artifact is no longer supported. NVIDIA strongly recommends artifacts that are up to date and supported"