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

# search_proximity

> Find where one keyword appears near another keyword in audio.

Finds contextual discussions — not just individual keywords, but keywords appearing in the same thought or sentence.

***

## Example

**Request:**

```json theme={null}
{
  "audio_path": "/Users/you/Downloads/interview.webm",
  "keyword1": "burnout",
  "keyword2": "boundaries",
  "max_distance": 30
}
```

**Response:**

```json theme={null}
{
  "query": "'burnout' within 30 words of 'boundaries'",
  "match_count": 2,
  "matches": [
    {
      "timestamp": "3:42",
      "snippet": "...burnout is real and setting boundaries early is the only way to...",
      "distance": 8
    }
  ],
  "model_used": "tiny"
}
```

***

## Parameters

| Parameter      | Required | Default | Description                                   |
| -------------- | -------- | ------- | --------------------------------------------- |
| `audio_path`   | Yes      | —       | Path to the audio/video file                  |
| `keyword1`     | Yes      | —       | Primary keyword to find                       |
| `keyword2`     | Yes      | —       | Secondary keyword that must appear nearby     |
| `max_distance` | No       | `30`    | Maximum number of words between keywords      |
| `model_size`   | No       | `tiny`  | Whisper model size for transcription          |
| `output`       | No       | —       | File path to save results (`.csv` or `.xlsx`) |

***

## Notes

<Tip>Example use cases: "problem" near "solution", "feature" near "deadline", "competitor" near "advantage"</Tip>