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

# Cosine Similarity • Rust AI Agent SDK

> cosine_similarity: Calculate cosine similarity between two vectors.

# cosine\_similarity

<div className="flex items-center gap-2">
  <Badge color="teal">Function</Badge>
</div>

> This function is defined in the [**embedding**](../modules/embedding) module.

Calculate cosine similarity between two vectors.

## Signature

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def cosine_similarity(vec1: &[f32], vec2: &[f32]) -> f32
```

## Parameters

<ParamField query="vec1" type="&" required={true}>
  No description available.
</ParamField>

<ParamField query="vec2" type="&" required={true}>
  No description available.
</ParamField>

### Returns

<ResponseField name="Returns" type="f32">
  The result of the operation.
</ResponseField>

## Uses

* `zip`
* `sum`
* `sqrt`

## Source

<Card title="View on GitHub" icon="github" href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-rust/praisonai/src/embedding/mod.rs#L463">
  `praisonai/src/embedding/mod.rs` at line 463
</Card>