> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Fireworks Embedder

> Generate 768-dimensional embeddings through the Fireworks API.

`FireworksEmbedder` defaults to `nomic-ai/nomic-embed-text-v1.5` with 768 dimensions.

```python fireworks_embedder.py theme={null}
from agno.knowledge.embedder.fireworks import FireworksEmbedder

embedder = FireworksEmbedder()
embedding = embedder.get_embedding("The quick brown fox jumps over the lazy dog.")

print(embedding[:5])
print(len(embedding))
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Export the API key**

```bash theme={null}
export FIREWORKS_API_KEY=your_fireworks_api_key_here
```

**2. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**3. Run the example**

```bash theme={null}
python fireworks_embedder.py
```

## Developer Resources

* [FireworksEmbedder reference](https://agno-v2.mintlify.site/reference/knowledge/embedder/fireworks.md)
* [Fireworks embeddings](https://docs.fireworks.ai/guides/querying-embeddings-models)
* [Embedders overview](https://agno-v2.mintlify.site/knowledge/concepts/embedder/overview.md)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.