> ## 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.

# Search With Quality • AI Agent SDK

> search_with_quality: Search with quality filter

# search\_with\_quality

<div className="flex items-center gap-2">
  <Badge color="purple">Method</Badge>
</div>

> This is a method of the [**Memory**](../classes/Memory) class in the [**memory**](../modules/memory) module.

Search with quality filter

## Signature

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
def search_with_quality(query: str, min_quality: float, memory_type: Literal['short', 'long'], limit: int) -> List[Dict[str, Any]]
```

## Parameters

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

<ParamField query="min_quality" type="float" required={false} default="0.0">
  No description available.
</ParamField>

<ParamField query="memory_type" type="Literal" required={false} default="'long'">
  No description available.
</ParamField>

<ParamField query="limit" type="int" required={false} default="5">
  No description available.
</ParamField>

### Returns

<ResponseField name="Returns" type="List[Dict[str, Any]]">
  The result of the operation.
</ResponseField>

## Uses

* `logger.info`
* `search_func`

## Source

<Card title="View on GitHub" icon="github" href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai-agents/praisonaiagents/memory/memory.py#L1758">
  `praisonaiagents/memory/memory.py` at line 1758
</Card>