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

# Camel.utils.chunker.uio chunker

<a id="camel.utils.chunker.uio_chunker" />

<a id="camel.utils.chunker.uio_chunker.UnstructuredIOChunker" />

## UnstructuredIOChunker

```python theme={"system"}
class UnstructuredIOChunker(BaseChunker):
```

A class for chunking text while respecting structure and
character limits.

This class ensures that structured elements, such as document sections
and titles, are not arbitrarily split across chunks. It utilizes the
`UnstructuredIO` class to process and segment elements while maintaining
readability and coherence. The chunking method can be adjusted based on
the provided `chunk_type` parameter.

**Parameters:**

* **chunk\_type** (str, optional): The method used for chunking text. (default: :obj:`"chunk_by_title"`)
* **max\_characters** (int, optional): The maximum number of characters allowed per chunk. (default: :obj:`500`)
* **metadata\_filename** (Optional\[str], optional): An optional filename for storing metadata related to chunking. (default: :obj:`None`)

<a id="camel.utils.chunker.uio_chunker.UnstructuredIOChunker.__init__" />

### **init**

```python theme={"system"}
def __init__(
    self,
    chunk_type: str = 'chunk_by_title',
    max_characters: int = 500,
    metadata_filename: Optional[str] = None
):
```

<a id="camel.utils.chunker.uio_chunker.UnstructuredIOChunker.chunk" />

### chunk

```python theme={"system"}
def chunk(self, content: List['Element']):
```

Splits the content into smaller chunks while preserving
structure and adhering to token constraints.

**Parameters:**

* **content** (List\[Element]): The content to be chunked.

**Returns:**

List\[Element]: A list of chunked text segments.