NVIDIA/NeMo-Retriever 25.9.0

Release 25.9.0

Repository: NVIDIA/NeMo-Retriever

Tag: 25.9.0

Published: 2025-09-17T18:17:04Z

Prerelease: no

Release notes: The NeMo Retriever extraction 25.09 release adds new hardware and software support, and other improvements, including the following:

• Add functional support for RTX Pro 6000.
• Add functional support for DGX B200.
• Add support for nemoretriever-ocr-v1. For details, refer to Deploy With Docker Compose (Self-Hosted) and NV-Ingest Helm Charts.
• Add support for llama-3.2-nemoretriever-1b-vlm-embed-v1.
• Add support for Llama Nemotron VLM 8b NIM for image captioning. For details, refer to Extract Captions from Images.
• Add support for custom vector database implementations. For details, refer to Build a Custom Vector Database Operator.
• Add support for custom Lambda stages. For details, refer to Add User-defined Stages to Your NeMo Retriever Extraction Pipeline.
• Expanded documentation for Library Mode.
• New documentation Configure Ray Logging.
• New documentation Use Multimodal Embedding.
• Add support for Integer, float, boolean, and array in custom metadata during Milvus entity creation.
• Add support for running more than one VLM at a time by using Helm. For details, refer to NV-Ingest Helm Charts.

Known Issues

The following are the known issues for this release:

• A10G and L40S are not supported. For details, refer to Support Matrix.
• nemoretriever-parse is not supported on RTX Pro 6000 or B200. For details, refer to Support Matrix.
• The NeMo Retriever extraction pipeline does not support ingestion of batches that include individual files greater than approximately 400MB.