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NVIDIA RAG Examples

This directory contains example integrations and extensions for NVIDIA RAG.

Examples

Example Description Documentation
rag_react_agent Integration with NeMo Agent Toolkit (NAT) providing RAG query and search capabilities for agent workflows README
nvidia_rag_mcp MCP (Model Context Protocol) server and client for exposing NVIDIA RAG capabilities to MCP-compatible applications Documentation
rag_event_ingest Automated document ingestion from object storage (MinIO) via Kafka Notebook
google-cloud-netapp-volumes-data-ingestor Helm chart for deploying the GCNV data ingestor with PVC-backed storage and configurable runtime settings README

rag_react_agent

This plugin integrates NVIDIA RAG with NeMo Agent Toolkit, enabling intelligent agents to use RAG tools for document retrieval and question answering. It demonstrates:

  • Creating custom NAT tools that wrap NVIDIA RAG functionality
  • Using the React Agent workflow for intelligent tool selection

See the rag_react_agent README for setup and usage instructions.

nvidia_rag_mcp

This example provides an MCP server and client that exposes NVIDIA RAG and Ingestor capabilities as MCP tools. It supports multiple transport modes (SSE, streamable HTTP, stdio) and enables MCP-compatible applications to:

  • Generate answers using the RAG pipeline
  • Search the vector database for relevant documents
  • Manage collections and documents in the vector database

See the MCP documentation for detailed setup and usage instructions.

rag_event_ingest

This example deploys an event-driven ingestion pipeline that monitors MinIO object storage for new file uploads via Kafka events. Documents are automatically indexed through the RAG Ingestor and become queryable through the RAG Agent.

Components:

  • kafka_consumer/ - Event-driven consumer that routes files to RAG based on file type
  • deploy/ - Docker Compose for Kafka, MinIO, and the consumer
  • data/ - Sample documents for testing

See the notebook for step-by-step deployment and testing.

google-cloud-netapp-volumes-data-ingestor

This example packages a GCNV data ingestor deployment as a reusable Helm chart. It is intended for Kubernetes environments where application state and source data are mounted from PVCs, including NetApp Google Cloud NetApp Volumes-backed storage.

The chart supports configurable image settings, PVC creation or reuse, health probes, service exposure, and runtime environment overrides for connecting to an NVIDIA ingestor endpoint.

See the google-cloud-netapp-volumes-data-ingestor README for prerequisites, installation, and configuration details.