> ## 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. # Together AI > Configure PipesHub to use Together AI embedding models # Together AI Embeddings Configuration Together AI Embeddings Configuration Interface *The Together AI embeddings configuration screen in PipesHub where you'll enter your API Key, Model Name, and optional Endpoint URL* PipesHub allows you to integrate with Together AI's embedding models to enable vector search, semantic similarity, and document retrieval in your workspace. Together AI provides access to a range of open-source embedding models with fast, scalable cloud inference. ## Required Fields ### API Key \* The API Key is required to authenticate your requests to Together AI's services. **How to obtain an API Key:** 1. Log in to the [Together AI Platform](https://api.together.xyz/) 2. Navigate to the "API Keys" section in your account settings 3. Click "Create API 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 Together AI. ### Model Name \* The Model Name field defines which embedding model you want to use through Together AI. **Available Together AI embedding models:** * `togethercomputer/m2-bert-80M-32k-retrieval` - A fast, retrieval-optimised embedding model with a 32K token context window **How to choose a model:** * For retrieval tasks requiring long document support, select `togethercomputer/m2-bert-80M-32k-retrieval` * Browse Together AI's [model catalog](https://api.together.xyz/models) for the full list of available embedding models * Use the exact model identifier shown in the catalog ## Optional Fields ### Endpoint URL The base API endpoint for Together AI. Leave blank to use the default Together AI API endpoint. **Default:** `https://api.together.xyz/v1/` **When to set this:** * If you are routing traffic through a custom proxy or gateway * For enterprise deployments with a dedicated Together AI endpoint If left blank, PipesHub will use the standard Together AI API endpoint automatically. ## Configuration Steps As shown in the image above: 1. Click **Configure** on the Together AI provider card 2. Enter your Together AI API Key in the designated field (marked with \*) 3. Specify your desired Model Name (marked with \*) 4. (Optional) Enter a custom Endpoint URL — leave blank to use the default 5. Click **Add Model** to save and validate your credentials > API Key and Model Name are required fields. Endpoint URL is optional and defaults to the Together AI API if left blank. ## Usage Considerations * API usage will count against your Together AI account's quota and billing * Different models have different pricing — check [Together AI pricing](https://www.together.ai/pricing) for details * Together AI provides fast, scalable cloud inference for open-source embedding models ## Troubleshooting * If you encounter authentication errors, verify your API key is correct and has not expired * Ensure your Together AI account has billing or credits set up * Check that the model name uses the exact format shown in Together AI's model catalog * If you are experiencing rate limits, check your usage in the Together AI dashboard For additional support, refer to the [Together AI documentation](https://docs.together.ai/) or contact PipesHub support.