# chunk.MarkdownChunk


A chunk extracted from a Markdown document.


Usage

``` python
chunk.MarkdownChunk(
    text,
    start_index,
    end_index,
    char_count,
    context=None,
    origin=None,
    attributes=None
)
```


[MarkdownChunker](chunker.MarkdownChunker.md#raghilda.chunker.MarkdownChunker) produces [MarkdownChunk](chunk.MarkdownChunk.md#raghilda.chunk.MarkdownChunk)s. It behaves exactly like a [Chunk](chunk.Chunk.md); the one thing to note is that its `context` field holds the Markdown heading hierarchy in effect at the chunk's position (the `#`/`##` headings the passage falls under). That context lets retrieval results show where in a document a passage came from, which helps both with ranking and with citing sources back to the user.


## Parameters


`text: str`  
The text content of the chunk.

`start_index: int`  
Character position where this chunk begins in the source document.

`end_index: int`  
Character position where this chunk ends in the source document.

`char_count: int`  
Number of characters in this chunk.

`context: str | None = None`  
The Markdown heading hierarchy in effect at this chunk's position, or `None` if there is none.

`origin: str | None = None`  
Origin of the parent document this chunk belongs to.

`attributes: dict[str, Any] | None = None`  
Optional user-defined attributes associated with the chunk, used for retrieval filtering and downstream prompt construction.