Mistral AI

Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.

1. Credentials

This section provides information about and step-by-step instructions for creating a new Mistral AI credential in Nexla.

• After selecting the data source/destination type, click in the Authenticate screen. This will open the Add New Credential window.

Configure the Credential

1. Enter a name for the credential in the Credential Name field.

2. Optional: Enter a description for the credential in the Credential Description field.

   Resource Descriptions

   Resource descriptions should provide information about the resource purpose, data freshness, etc. that can help the owner and other users efficiently understand and utilize the resource.

3. Enter or select the following information in the displayed fields:

   • API Key Value – Your API KEY for this model
   • Model Name – The name of the model you want to use (Ex.: mistral-small-latest).
   • Base Url for the LLM Call – Provide the full endpoint to the LLM call on Mistral ex : https://api.mistral.ai/v1/chat/completions

Save the Credential

1. Once all of the relevant steps in the above sections have been completed, click the button at the bottom of the Add New Credential screen to save the configured credential.

2. The newly added credential will now appear in a tile on the Authenticate screen during data source/destination creation and can be selected for use with a new data source or destination.

2. Data Source

To ingest data from a Mistral AI location, follow the instructions in Section 2 of Common Setup for REST API-Based Systems.

3. Data Destination

To send data to a Mistral AI location, follow the instructions in Section 3 of Common Setup for Databases and Data Warehouses.