> ## 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. # Cohere > Configure PipesHub to use Cohere embedding models # Cohere Embeddings Configuration Cohere Embeddings Configuration Interface *The Cohere embeddings configuration screen in PipesHub where you'll enter your API Key and Model Name* PipesHub allows you to integrate with Cohere's embedding models to enable vector search, semantic similarity, and document retrieval in your workspace. Cohere's embedding models are optimised for retrieval-augmented generation (RAG) and enterprise search tasks. ## Required Fields ### API Key \* The API Key is required to authenticate your requests to Cohere's services. **How to obtain an API Key:** 1. Log in to the [Cohere Dashboard](https://dashboard.cohere.com/) 2. Navigate to the "API Keys" section 3. Click "New API 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 Cohere. ### Model Name \* The Model Name field defines which Cohere embedding model you want to use with PipesHub. **Available Cohere embedding models:** * `embed-v4.0` - Cohere's latest and most capable embedding model, optimised for retrieval **How to choose a model:** * For most retrieval and RAG use cases, select `embed-v4.0` * Check Cohere's [model documentation](https://docs.cohere.com/docs/models) for the most up-to-date options ## Configuration Steps As shown in the image above: 1. Click **Configure** on the Cohere provider card 2. Enter your Cohere 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 Cohere embedding integration. ## Usage Considerations * API usage will count against your Cohere account's quota and billing * Different models have different pricing — check Cohere's pricing page for details * Cohere embedding models excel at retrieval-augmented generation (RAG) and enterprise search tasks * Cohere supports multilingual embeddings — check model documentation for language coverage ## Troubleshooting * If you encounter authentication errors, verify your API key is correct and has not expired * Ensure your Cohere account has billing set up if you are using paid service tiers * Check that the model name is spelled correctly and matches Cohere's naming conventions * Verify that your API key has access to the specific model you have selected For additional support, refer to the [Cohere documentation](https://docs.cohere.com/) or contact PipesHub support.