[ AI ]
Mistral AI integration for your workflows.
Connect Mistral AI to Collabase once and use 6 actions in your workflows. No code needed, hosted in Switzerland.
Mistral AI in Collabase
Connect Mistral AI to Collabase once and use 6 actions in your workflows. No code needed, hosted in Switzerland.
[ About the service ]
Mistral AI provides state-of-the-art open-weight and hosted language models for text generation, embeddings, and reasoning tasks.
How to connect it
- Open the integrations in the workspace settings.
- Choose Mistral AI and connect your account.
- Add a trigger or an action to the workflow.
Mistral AI triggers
Mistral AI does not start a workflow on its own. You use its actions after any other trigger.
Mistral AI actions
| Name | Description | Fields |
|---|---|---|
| Ask Mistral | Ask a Mistral model a question and get its answer. |
+ 1
|
| Create Embeddings | Turn a list of texts into vectors with the mistral-embed model. |
|
| Upload File | Upload a file to Mistral for OCR, batch jobs or fine-tuning. |
|
| Run OCR | Extract the text of a PDF or image as Markdown. |
|
| List Models | Retrieves a list of available Mistral AI models. | 0 |
| Custom API Call | Make a custom API call to a specific endpoint |
+ 3
|
[ AI ]
Related integrations
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Questions about Mistral AI
What can I automate with Mistral AI in Collabase?
Mistral AI brings 6 actions and 0 triggers, for example Ask Mistral, Create Embeddings, Upload File, Run OCR and 2 more. You combine them in a workflow without code and mix them with every other integration.
How do I connect Mistral AI to Collabase?
You open the integrations in the workspace settings, choose Mistral AI and connect your account once, using an API key. After that all triggers and actions are available in the workflow.
Does the Mistral AI integration cost extra?
No. All integrations are included in every licence, in the Isolated Cloud and in Self-Hosted operation. There is no module price.
Test it against your own content. A proof of concept is ready within days.
We set up an instance with your content and you test it against real workflows. In a first conversation we clarify scope, operating model and timing.