> ## Documentation Index
> Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Jina AI

> Use Jina AI's embedding and reranker models through Portkey.

## Quick Start

Get started with Jina AI in under 2 minutes:

```python Python icon="python" theme={"system"}
from portkey_ai import Portkey

# 1. Install: pip install portkey-ai
# 2. Add @jina provider in model catalog
# 3. Use it:

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.chat.completions.create(
    model="@jina/jina-embeddings-v2-base-en",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
```

```js Javascript icon="square-js" theme={"system"}
import Portkey from 'portkey-ai'

// 1. Install: npm install portkey-ai
// 2. Add @jina provider in model catalog
// 3. Use it:

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
})

const response = await portkey.chat.completions.create({
    model: "@jina/jina-embeddings-v2-base-en",
    messages: [{ role: "user", content: "Hello!" }]
})

console.log(response.choices[0].message.content)
```

```python OpenAI Py icon="python" theme={"system"}
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL

# 1. Install: pip install openai portkey-ai
# 2. Add @jina provider in model catalog
# 3. Use it:

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # Portkey API key
    base_url=PORTKEY_GATEWAY_URL
)

response = client.chat.completions.create(
    model="@jina/jina-embeddings-v2-base-en",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
```

```js OpenAI JS icon="square-js" theme={"system"}
import OpenAI from "openai"
import { PORTKEY_GATEWAY_URL } from "portkey-ai"

// 1. Install: npm install openai portkey-ai
// 2. Add @jina provider in model catalog
// 3. Use it:

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // Portkey API key
    baseURL: PORTKEY_GATEWAY_URL
})

const response = await client.chat.completions.create({
    model: "@jina/jina-embeddings-v2-base-en",
    messages: [{ role: "user", content: "Hello!" }]
})

console.log(response.choices[0].message.content)
```

```bash cURL theme={"system"}
curl https://api.portkey.ai/v1/embeddings \
    -H "Content-Type: application/json" \
    -H "x-portkey-api-key: $PORTKEY_API_KEY" \
    -H "x-portkey-provider: @jina" \
    -d '{
        "model": "jina-embeddings-v2-base-en",
        "input": "embed this text"
    }'
```

## Add Provider in Model Catalog

Before making requests, add Jina AI to your Model Catalog:

1. Go to [**Model Catalog → Add Provider**](https://app.portkey.ai/model-catalog/providers)
2. Select **Jina AI**
3. Enter your [Jina AI API key](https://jina.ai/)
4. Name your provider (e.g., `jina`)

> [card] [Complete Setup Guide](https://docs.portkey.ai/docs/product/model-catalog.md)
>
> See all setup options and detailed configuration instructions

***

## Jina AI Capabilities

### Embeddings

Generate embeddings with language-specific models:

```python Python theme={"system"}
from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY", provider="@jina")

embeddings = portkey.embeddings.create(
    model="jina-embeddings-v2-base-en",
    input="embed this text"
)

print(embeddings.data[0].embedding)
```

```javascript Node.js theme={"system"}
import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: 'PORTKEY_API_KEY',
    provider: '@jina'
});

const embeddings = await portkey.embeddings.create({
    model: "jina-embeddings-v2-base-en",
    input: "embed this text"
});

console.log(embeddings.data[0].embedding);
```

### Reranking

Rerank documents for better search results:

```bash cURL theme={"system"}
curl https://api.portkey.ai/v1/rerank \
    -H "Content-Type: application/json" \
    -H "x-portkey-api-key: $PORTKEY_API_KEY" \
    -H "x-portkey-provider: @jina" \
    -d '{
        "model": "jina-reranker-v1-base-en",
        "query": "Organic skincare products for sensitive skin",
        "documents": [
            "Eco-friendly kitchenware for modern homes",
            "Biodegradable cleaning supplies for eco-conscious consumers",
            "Organic cotton baby clothes for sensitive skin"
        ],
        "top_n": 2
    }'
```

```python Python theme={"system"}
from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY", provider="@jina")

response = portkey.post(
    "/rerank",
    model="jina-reranker-v1-base-en",
    query="Organic skincare products for sensitive skin",
    documents=[
        "Eco-friendly kitchenware for modern homes",
        "Biodegradable cleaning supplies for eco-conscious consumers",
        "Organic cotton baby clothes for sensitive skin"
    ],
    top_n=2
)

print(response)
```

```javascript Node.js theme={"system"}
import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: 'PORTKEY_API_KEY',
    provider: '@jina'
});

const response = await portkey.post(
    "/rerank",
    {
        model: "jina-reranker-v1-base-en",
        query: "Organic skincare products for sensitive skin",
        documents: [
            "Eco-friendly kitchenware for modern homes",
            "Biodegradable cleaning supplies for eco-conscious consumers",
            "Organic cotton baby clothes for sensitive skin"
        ],
        top_n: 2
    }
);

console.log(response);
```

***

## Supported Models

Jina AI provides embedding models in multiple languages:

| Model Family | Languages | Description |
| - | - | - |
| jina-embeddings-v2-base | en, de, es, zh, and more | Multilingual embeddings |
| jina-reranker-v1-base | en, de, es, zh | Reranking models |

Check [Jina AI's model page](https://jina.ai/embeddings) for the complete list.

***

## Next Steps

> [card] [Gateway Configs](https://docs.portkey.ai/docs/product/ai-gateway.md)
>
> Add fallbacks, load balancing, and more

> [card] [Observability](https://docs.portkey.ai/docs/product/observability.md)
>
> Monitor and trace your Jina AI requests

> [card] [Caching](https://docs.portkey.ai/docs/product/ai-gateway/cache-simple-and-semantic.md)
>
> Cache embeddings for faster responses

> [card] [Metadata](https://docs.portkey.ai/docs/product/observability/metadata.md)
>
> Add custom metadata to requests

For complete SDK documentation:

> [card] [SDK Reference](https://docs.portkey.ai/docs/api-reference/sdk/list.md)
>
> Complete Portkey SDK documentation

***

> [card] [Portkey is now PRISMA AIRS AI Gateway. See it in action.](https://www.paloaltonetworks.in/ai-security/ai-gateway?utm_source=portkey\&utm_medium=referral\&utm_campaign=prisma_airs\&utm_content=docs_nav#contact)
>
> Contact Us


## Related topics

- [Overview](https://docs.portkey.ai/docs/integrations/llms.md)
- [Portkey Models](https://docs.portkey.ai/docs/product/model-catalog/portkey-models.md)
- [Supported Providers](https://docs.portkey.ai/docs/api-reference/inference-api/supported-providers.md)
- [January](https://docs.portkey.ai/docs/changelog/2026/january.md)
- [Mistral AI](https://docs.portkey.ai/docs/integrations/llms/mistral-ai.md)


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