---
title: "Jina AI"
description: "import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';"
type: skill
canonical_url: https://claudary.paisolsolutions.com/skills/jina-ai
source: "Claudary"
difficulty: intermediate
author: "Claude Code Knowledge Pack"
date: 2026-07-10T11:30:19.177Z
license: CC-BY-4.0
attribution: "Jina AI — Claudary (https://claudary.paisolsolutions.com/skills/jina-ai)"
---

# Jina AI
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

## Overview

import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

# Jina AI
https://jina.ai/embeddings/

Supported endpoints: 
- /embeddings
- /rerank

## API Key
```python
# env variable
os.environ['JINA_AI_API_KEY']
```

## Sample Usage - Embedding

<Tabs>
<TabItem value="sdk" label="SDK">

```python
from litellm import embedding
import os

os.environ['JINA_AI_API_KEY'] = ""
response = embedding(
    model="jina_ai/jina-embeddings-v3",
    input=["good morning from litellm"],
)
print(response)
```
</TabItem>
<TabItem value="proxy" label="PROXY">

1. Add to config.yaml
```yaml
model_list:
  - model_name: embedding-model
    litellm_params:
      model: jina_ai/jina-embeddings-v3
      api_key: os.environ/JINA_AI_API_KEY
```

2. Start proxy 

```bash
litellm --config /path/to/config.yaml

# RUNNING on http://0.0.0.0:4000/
```

3. Test it! 

```bash 
curl -L -X POST 'http://0.0.0.0:4000/embeddings' \\
-H 'Authorization: Bearer sk-1234' \\
-H 'Content-Type: application/json' \\
-d '{"input": ["hello world"], "model": "embedding-model"}'
```

</TabItem>
</Tabs>

## Sample Usage - Rerank

<Tabs>
<TabItem value="sdk" label="SDK">

```python
from litellm import rerank
import os

os.environ["JINA_AI_API_KEY"] = "sk-..."

query = "What is the capital of the United States?"
documents = [
    "Carson City is the capital city of the American state of Nevada.",
    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.",
    "Washington, D.C. is the capital of the United States.",
    "Capital punishment has existed in the United States since before it was a country.",
]

response = rerank(
    model="jina_ai/jina-reranker-v2-base-multilingual",
    query=query,
    documents=documents,
    top_n=3,
)
print(response)
```
</TabItem>
<TabItem value="proxy" label="PROXY">

1. Add to config.yaml
```yaml
model_list:
  - model_name: rerank-model
    litellm_params:
      model: jina_ai/jina-reranker-v2-base-multilingual
      api_key: os.environ/JINA_AI_API_KEY
```

2. Start proxy 

```bash
litellm --config /path/to/config.yaml
```

3. Test it! 

```bash 
curl -L -X POST 'http://0.0.0.0:4000/rerank' \\
-H 'Authorization: Bearer sk-1234' \\
-H 'Content-Type: application/json' \\
-d '{
    "model": "rerank-model",
    "query": "What is the capital of the United States?",
    "documents": [
        "Carson City is the capital city of the American state of Nevada.",
        "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.",
        "Washington, D.C. is the capital of the United States.",
        "Capital punishment has existed in the United States since before it was a country."
    ],
    "top_n": 3
}'
```

</TabItem>
</Tabs>

## Supported Models
All models listed here https://jina.ai/embeddings/ are supported

## Supported Optional Rerank Parameters

All cohere rerank parameters are supported. 

## Supported Optional Embeddings Parameters

```
dimensions
```

## Provider-specific parameters

Pass any jina ai specific parameters as a keyword argument to the `embedding` or `rerank` function, e.g. 

<Tabs>
<TabItem value="sdk" label="SDK">

```python
response = embedding(
    model="jina_ai/jina-embeddings-v3",
    input=["good morning from litellm"],
    dimensions=1536,
    my_custom_param="my_custom_value", # any other jina ai specific parameters
)
```
</TabItem>
<TabItem value="proxy" label="PROXY">

```bash
curl -L -X POST 'http://0.0.0.0:4000/embeddings' \\
-H 'Authorization: Bearer sk-1234' \\
-H 'Content-Type: application/json' \\
-d '{"input": ["good morning from litellm"], "model": "jina_ai/jina-embeddings-v3", "dimensions": 1536, "my_custom_param": "my_custom_value"}'
```

</TabItem>
</Tabs>

---

Source: [Claudary](https://claudary.paisolsolutions.com/skills/jina-ai) · https://claudary.paisolsolutions.com