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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.

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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.

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Required Fields

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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
  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.

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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 for the most up-to-date options

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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.

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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

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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 or contact PipesHub support.