Getting Started (NGC CLI)

To install the NGC CLI please refer to NGC CLI Installation

1) Download Helm chart

ngc registry chart pull nvidia/aiworkflows/retail-shopping-advisor:0.2

2) Install Milvus (vector database)

helm install milvus milvus/milvus --set cluster.enabled=false --set etcd.replicaCount=1 --set minio.mode=standalone --set pulsar.enabled=false --set etcd.persistance.storageClass=local-path --set standalone.persistance.persistentVolumeClaim.storageClass=local-path --set minio.persistance.storageClass=local-path

3) Install shopping advisor helm chart

tar xzf retail-shopping-advisor-0.2.tgz

Edit the values.yaml file.\nPopulate the placeholders for NVIDIA_API_KEY and NGC_API_KEY

#Edit values.yaml \n\nvi retail-shopping-advisor/config.yaml\n\n… \nchatbotService:\n  image: nvcr.io/nvidia/aiworkflows/retail-shopping-advisor-chatbot-service:0.2\n  port: 5001\n  type: NodePort\n  nodeport: 30001\n  env:\n    NVIDIA_API_KEY: \"Place holder for NVIDIA API KEY\"\n...\nngcCredentials:\n  registry: nvcr.io\n  username: $oauthtoken\n  password: \"Place holder for NGC API KEY\"\n  email:\n…\n

4) Finally install the helm chart

This step will pull down the following containers and deploy them to your environment.

helm install retail-shopping-advisor retail-shopping-advisor/ -n retail

This step pulls down containers from the NVIDIA container registry and deploys services for frontend service, the jupyter lab service and the backend API.

Check if all the services and deployments are up.

Kubectl get all -n retail

The helm charts launches deployments and services for frontend service, the jupyter lab service and the backend API

Access the front end service at http://$NODEIP:30002
Access the jupyter lab service at http://$NODEIP:30003
Access the backend API service at http://$NODEIP:30001/docs

The front end service will allow you to interact with the product advisor.

$\"Retail$

Additional Resources

Request a free 90-day evaluation license for NVIDIA AI Enterprise and try the retail shopping advisor AI workflow.

Learn more about how to use NVIDIA NIM microservices for RAG through our Deep Learning Institute. Access the course here.

Contact NVIDIA to learn more about how you can purchase NVIDIA AI Enterprise for your production deployment.

Licenses

By downloading or using NVIDIA NIM inference microservices included in the retail shopping advisor workflow you agree to the terms of the NVIDIA Software License Agreement and Product-specific Terms for AI products.

By downloading or using the product catalog in the retail shopping advisor workflow you agree to the terms of the NVIDIA Asset License.

Get Help

\n
Enterprise Support - Get access to knowledge base articles and support cases or submit a ticket.
\n
\n
NVIDIA AI Enterprise Documentation - Visit the NVIDIA AI Enterprise Documentation Hub for release documentation, deployment guides and more.
\n
\n
NVIDIA Licensing Portal - Go to the NVIDIA Licensing Portal to manage your software licenses. licensing portal for your products. Get Your Licenses
\n

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helm install milvus milvus/milvus --set cluster.enabled=false --set etcd.replicaCount=1 --set minio.mode=standalone --set pulsar.enabled=false --set etcd.persistance.storageClass=local-path --set standalone.persistance.persistentVolumeClaim.storageClass=local-path --set minio.persistance.storageClass=local-path

\n \n**3) Install shopping advisor helm chart**\n\ntar xzf retail-shopping-advisor-0.2.tgz\n\nEdit the values.yaml file.\nPopulate the placeholders for NVIDIA_API_KEY and NGC_API_KEY\n\n```\n#Edit values.yaml \n\nvi retail-shopping-advisor/config.yaml\n\n… \nchatbotService:\n image: nvcr.io/nvidia/aiworkflows/retail-shopping-advisor-chatbot-service:0.2\n port: 5001\n type: NodePort\n nodeport: 30001\n env:\n NVIDIA_API_KEY: \"Place holder for NVIDIA API KEY\"\n...\nngcCredentials:\n registry: nvcr.io\n username: $oauthtoken\n password: \"Place holder for NGC API KEY\"\n email:\n…\n```\n\n**4) Finally install the helm chart**\n\nThis step will pull down the following containers and deploy them to your environment.\n\nhelm install retail-shopping-advisor retail-shopping-advisor/ -n retail \n\nThis step pulls down containers from the NVIDIA container registry and deploys services for frontend service, the jupyter lab service and the backend API.\n\nCheck if all the services and deployments are up.\n\nKubectl get all -n retail\n\nThe helm charts launches deployments and services for frontend service, the jupyter lab service and the backend API\n- Access the front end service at http://$NODEIP:30002 \n- Access the jupyter lab service at http://$NODEIP:30003 \n- Access the backend API service at http://$NODEIP:30001/docs\n\nThe front end service will allow you to interact with the product advisor.\n\n![Retail Shopping Advisor AI Workflow](https://nvdam.widen.net/content/pmc2ubiam4/jpeg/NVIDIA%20Retail%20Shopping%20Advisor%20AI%20Workflow%20v0.2.jpeg \"Retail Shopping Advisor AI Workflow v0.2\")\n\n

\n\n### Additional Resources\n\n[Request a free 90-day evaluation license](https://enterpriseproductregistration.nvidia.com/?LicType=EVAL&ProductFamily=NVAIEnterprise) for NVIDIA AI Enterprise and try the retail shopping advisor AI workflow.\n\nLearn more about how to use NVIDIA NIM microservices for RAG through our Deep Learning Institute. Access the course [here](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-16+V1).\n\n[Contact NVIDIA](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/contact-sales/) to learn more about how you can purchase NVIDIA AI Enterprise for your production deployment.\n\n

\n\n### Licenses\n\nBy downloading or using NVIDIA NIM inference microservices included in the retail shopping advisor workflow you agree to the terms of the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and [Product-specific Terms for AI products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/).\n\nBy downloading or using the product catalog in the retail shopping advisor workflow you agree to the terms of the [NVIDIA Asset License](https://docs.nvidia.com/data-license-gear-store.pdf).\n\n

\n\n\n### Get Help\n\n- **Enterprise Support** - Get access to knowledge base articles and support cases or [submit a ticket](https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/).\n\n- **NVIDIA AI Enterprise Documentation** - Visit the [NVIDIA AI Enterprise Documentation Hub](https://docs.nvidia.com/ai-enterprise/) for release documentation, deployment guides and more.\n\n- **NVIDIA Licensing Portal** - Go to the [NVIDIA Licensing Portal](https://nvid.nvidia.com/dashboard) to manage your software licenses. licensing portal for your products. [Get Your Licenses](https://nvid.nvidia.com/dashboard)","Helm Chart: retail-shopping-advisor",["D",1722035589956],"/api/image/nvidia/aiworkflows/helm-charts/retail-shopping-advisor","bias","explainability","privacy","safetyAndSecurity",[],[232,233,234,235],[],[],[230],{"_120":121,"_89":122,"_86":123,"_99":124,"_125":231},[127,128,129],{"_89":252,"_237":252,"_239":253,"_241":242},{"_89":249,"_237":249,"_239":250,"_241":242},{"_89":245,"_237":246,"_239":247,"_241":242},{"_89":236,"_237":238,"_239":240,"_241":242},"Retail","value","indus_retail","filter",{"_243":244,"_237":238},"category","label","field","industry","NVIDIA AI","soln_nvidia_ai",{"_243":248,"_237":246},"technology","NeMo",{"_243":251,"_237":249},"framework","AI Workflows",{"_243":242,"_237":252},{"_156":1219,"_158":1220},"ngcApps",[1172],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1153":1154,"_1155":1156,"_1157":1158,"_1159":1160,"_1161":265,"_188":291,"_1162":1163,"_1164":50,"_1165":198,"_1166":198,"_1167":1168,"_1169":198,"_1170":1171},"amplitude",{"_1150":1151,"_803":-7,"_1152":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1144":1145,"_1146":1147,"_1148":1149},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787843521935,"1.12.0","defaultSearchSuggestions",{"_1043":370,"_1044":1045,"_1046":1047,"_1048":1049},"announcements",[],"consentState",{"_328":1033,"_1034":198,"_1035":26,"_1036":26,"_1037":1038},"consentConfig",{"_310":311,"_312":313,"_314":315,"_316":317,"_318":319,"_320":321,"_322":323,"_324":325,"_326":327,"_328":329},"showContactAdmin",[],[],[304,305,306,307,308,309],{"_39":54,"_41":63,"_43":64,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":61,"_43":64,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":59,"_43":64,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":55,"_43":64,"_45":-5,"_47":-5,"_49":50},{"_39":51,"_41":52,"_43":64,"_45":-5,"_47":-5,"_49":50},{"_39":40,"_41":42,"_43":64,"_45":-5,"_47":-5,"_49":50},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.

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