> ## 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.

# Nomic

> Use Nomic's superior embedding models through Prisma AIRS AI Gateway.

## Quick Start

Get started with Nomic in under 2 minutes:

```bash cURL theme={"system"}
curl https://aigw.portkey.ai/v1/embeddings \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $PORTKEY_API_KEY" \
    -d '{
        "model": "@nomic/nomic-embed-text-v1.5",
        "input": "create vector representation on this sentence"
    }'
```

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

# 1. Install: pip install openai
# 2. Add @nomic provider in model catalog
# 3. Use it:

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # AI Gateway API key
    base_url="https://aigw.portkey.ai/v1"
)

response = client.chat.completions.create(
    model="@nomic/nomic-embed-text-v1.5",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

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

// 1. Install: npm install openai
// 2. Add @nomic provider in model catalog
// 3. Use it:

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // AI Gateway API key
    baseURL: "https://aigw.portkey.ai/v1"
})

const response = await client.chat.completions.create({
    model: "@nomic/nomic-embed-text-v1.5",
    messages: [{ role: "user", content: "Hello!" }]
})

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

## Add Provider in Model Catalog

Before making requests, add Nomic to your Model Catalog:

1. Go to [**Model Catalog → Add Provider**](https://stratacloudmanager.paloaltonetworks.com/)
2. Select **Nomic**
3. Enter your [Nomic API key](https://atlas.nomic.ai/)
4. Name your provider (e.g., `nomic`)

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

***

## Supported Models

Nomic is known for their high-quality embedding models:

| Model | Context Length | Description |
| - | - | - |
| nomic-embed-text-v1.5 | 8,192 tokens | Latest high-performance embedding model |
| nomic-embed-text-v1 | 8,192 tokens | Previous generation embedding model |

Check [Nomic's documentation](https://docs.nomic.ai/) for more details.

***

## Next Steps

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

> **[Observability](https://docs.portkey.ai/docs/aigw/product/observability.md)**
>
> Monitor and trace your Nomic requests

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

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


## Related topics

- [Prisma AIRS AI Gateway Models](https://docs.portkey.ai/docs/aigw/product/model-catalog/gateway-models.md)
- [Overview](https://docs.portkey.ai/docs/aigw/integrations/llms.md)
- [Supported Providers](https://docs.portkey.ai/docs/aigw/api-reference/inference-api/supported-providers.md)


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