Short answer: You can nvidia nim embeddings in Nvidia NIM by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Nvidia NIM Nvidia NIM Embeddings action to a workflow, map its 3 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
Model model | options | Optional | Model. Options: NV-Embed v1, NV-Embed v2, NV-EmbedQA Mistral 7B v2 |
Text input | string | Required | Text (required) |
Input Type input_type | options | Optional | Input Type. Options: Query, Passage |
{"model": "{{trigger.model}}","input": "{{trigger.input}}","input_type": "{{trigger.input_type}}"}
{"data": [{"embedding": [0.012]}],"model": "nvidia/nv-embed-v1"}
Use these fields in downstream nodes for routing, logging, or error handling.
Any of these apps can fire this action as part of a workflow.