Short answer: You can deepinfra embeddings in DeepInfra by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the DeepInfra DeepInfra Embeddings action to a workflow, map its 2 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: BGE Large EN v1.5, BGE M3, Sentence Transformers MiniLM |
Text input | string | Required | Text (required) |
{"model": "{{trigger.model}}","input": "{{trigger.input}}"}
{"data": [{"embedding": [0.012]}],"model": "BAAI/bge-large-en-v1.5","usage": {"prompt_tokens": 5}}
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.