> ## 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.

# Jina AI

> Configure PipesHub to use Jina AI embedding models

# Jina AI Embeddings Configuration

<img src="https://mintcdn.com/pipeshub/xDYTCu7XyGABzJ1N/images/ai-models/embedding/Jina_EmbeddingConfig.png?fit=max&auto=format&n=xDYTCu7XyGABzJ1N&q=85&s=c6b98a4bf3372a9eb26b8bf12e5ed599" alt="Jina AI Embeddings Configuration Interface" width="666" height="1001" data-path="images/ai-models/embedding/Jina_EmbeddingConfig.png" />

*The Jina AI embeddings configuration screen in PipesHub where you'll enter your API Key and Model Name*

PipesHub allows you to integrate with Jina AI's embedding models to enable vector search, semantic similarity, and document retrieval in your workspace. Jina AI's models are optimised for long-document retrieval and multilingual use cases.

## Required Fields

### API Key \*

The API Key is required to authenticate your requests to Jina AI's services.

**How to obtain an API Key:**

1. Log in to the [Jina AI Platform](https://jina.ai/)
2. Navigate to your account settings or API section
3. Create a new 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 Jina AI.

### Model Name \*

The Model Name field defines which Jina AI embedding model you want to use with PipesHub.

**Available Jina AI embedding models:**

* `jina-embeddings-v3` - Jina AI's latest embedding model with strong multilingual and long-document support

**How to choose a model:**

* For most retrieval and multilingual use cases, select `jina-embeddings-v3`
* Check Jina AI's [model documentation](https://jina.ai/embeddings/) for the most up-to-date options

## Configuration Steps

As shown in the image above:

1. Click **Configure** on the Jina AI provider card
2. Enter your Jina 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 Jina AI embedding integration.

## Usage Considerations

* API usage will count against your Jina AI account's quota and billing
* Different models have different pricing — check Jina AI's pricing page for details
* Jina AI models support long-context documents and multilingual content

## Troubleshooting

* If you encounter authentication errors, verify your API key is correct and has not expired
* Ensure your Jina AI account has billing set up if you are on a paid tier
* Check that the model name is spelled correctly and matches Jina AI's naming conventions

For additional support, refer to the [Jina AI documentation](https://jina.ai/embeddings/) or contact PipesHub support.