Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
24 changes: 21 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -21,16 +21,34 @@ pip install langchain-docling

## Usage

Basic usage looks as follows:
### Basic usage

Basic usage of `DoclingLoader` looks as follows:

```python
from langchain_docling import DoclingLoader

FILE_PATH = ["https://arxiv.org/pdf/2408.09869"] # Docling Technical Report

loader = DoclingLoader(file_path=FILE_PATH)

docs = loader.load()
```

For end-to-end usage samples check out the [examples](examples/).
### Advanced usage

When initializing a `DoclingLoader`, you can use the following parameters:

- `file_path`: source as single str (URL or local file) or iterable thereof
- `converter` (optional): any specific Docling converter instance to use
- `convert_kwargs` (optional): any specific kwargs for conversion execution
- `export_type` (optional): export mode to use: `ExportType.DOC_CHUNKS` (default) or
`ExportType.MARKDOWN`
- `md_export_kwargs` (optional): any specific Markdown export kwargs (for Markdown mode)
- `chunker` (optional): any specific Docling chunker instance to use (for doc-chunk
mode)
- `meta_extractor` (optional): any specific metadata extractor to use

### Example

For an end-to-end usage example, check out
[this notebook](https://ds4sd.github.io/docling/examples/rag_langchain/).
Loading