> ## Documentation Index > Fetch the complete documentation index at: https://docs.pipeshub.com/llms.txt > Use this file to discover all available pages before exploring further. # Mistral AI > Configure PipesHub to use Mistral AI embedding models # Mistral AI Embeddings Configuration Mistral AI Embeddings Configuration Interface *The Mistral AI embeddings configuration screen in PipesHub where you'll enter your API Key and Model Name* PipesHub allows you to integrate with Mistral AI's embedding models to enable vector search, semantic similarity, and document retrieval in your workspace. ## Required Fields ### API Key \* The API Key is required to authenticate your requests to Mistral AI's services. **How to obtain an API Key:** 1. Log in to the [Mistral AI Console](https://console.mistral.ai/) 2. Navigate to the API Keys section 3. Click "Create new key" or use an existing key 4. Copy the generated API key **Security Note:** Your API key should be kept secure and never shared publicly. PipesHub securely stores your API key and uses it only for authenticating requests to Mistral AI. ### Model Name \* The Model Name field defines which Mistral AI embedding model you want to use with PipesHub. **Available Mistral AI embedding models:** * `mistral-embed` - Mistral's dedicated embedding model optimised for retrieval tasks **How to choose a model:** * For most retrieval use cases, select `mistral-embed` * Check Mistral's [model documentation](https://docs.mistral.ai/getting-started/models/) for the most up-to-date options ## Configuration Steps As shown in the image above: 1. Click **Configure** on the Mistral AI provider card 2. Enter your Mistral AI API Key in the designated field (marked with \*) 3. Specify your desired Model Name (marked with \*) 4. Click **Add Model** to save and validate your credentials > Both the API Key and Model Name are required fields to successfully configure Mistral AI embedding integration. ## Usage Considerations * API usage will count against your Mistral AI account's quota and billing * Different models have different pricing — check Mistral AI's pricing page for details * Mistral embedding models are optimised for retrieval tasks and work well with Mistral language models in RAG pipelines ## Troubleshooting * If you encounter authentication errors, verify your API key is correct and has not expired * Ensure your Mistral AI account has billing set up if you are on a paid tier * Check that the model name is spelled correctly and available on your account For additional support, refer to the [Mistral AI documentation](https://docs.mistral.ai/) or contact PipesHub support.