ActionNvidia NIMUpdated September 2026
How do I generate embeddings via Nvidia NIM?
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.
Inputs
The fields this action accepts.
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 |
Sample request
{"model": "{{trigger.model}}","input": "{{trigger.input}}","input_type": "{{trigger.input_type}}"}
Returns
{"data": [{"embedding": [0.012]}],"model": "nvidia/nv-embed-v1"}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for Nvidia NIM Embeddings.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Nvidia NIM Embeddings.
What does the Nvidia NIM Embeddings action do in Nvidia NIM?
Generates embeddings using NIM-hosted models. For RAG-pipeline vector generation in enterprise workflows.
What inputs does Nvidia NIM Embeddings require?
Required: Text. Every input accepts a static value or a variable from any upstream node in your workflow.
Can I use dynamic inputs from earlier workflow nodes?
Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.
What happens if Nvidia NIM returns an error?
The run history shows the failed step with its input and the error message Nvidia NIM returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.
Does Nvidia NIM Embeddings support batch operations?
Run Nvidia NIM Embeddings inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Nvidia NIM's rate limits.
More actions
Other Nvidia NIM actions.
Action
Nvidia NIM Chat Completion
Runs chat completion against Nvidia-hosted optimised inference for Llama, Mixtral, Nemotron, and other open-source models. OpenAI-compatible shape. For enterprise workflows wanting Nvidia's GPU-optimised inference.
ActionList Nvidia NIM Models
Returns the NIM model catalog. Useful for model selection and capacity planning.