Docling Reader

Overview

Docling Reader uses Docling to enable fast and easy extraction of PDF, DOCX, HTML, and other document types, into Markdown or JSON-serialized Docling format, for usage in LlamaIndex pipelines for RAG / QA etc.

Installation

console

pip install llama-index-readers-docling

Usage

Markdown export

By default, Docling Reader exports to Markdown. Basic usage looks like this:

python

from llama_index.readers.docling import DoclingReader

reader = DoclingReader()
docs = reader.load_data(file_path="https://arxiv.org/pdf/2408.09869")
print(f"{docs[0].text[389:442]}...")
# > ## Abstract
# >
# > This technical report introduces Docling...

JSON export

Docling Reader can also export Docling's native format to JSON:

python

from llama_index.readers.docling import DoclingReader

reader = DoclingReader(export_type=DoclingReader.ExportType.JSON)
docs = reader.load_data(file_path="https://arxiv.org/pdf/2408.09869")
print(f"{docs[0].text[:53]}...")
# > {"schema_name": "DoclingDocument", "version": "1.0.0"...

[!IMPORTANT] To appropriately parse Docling's native format, when using JSON export make sure to use a Docling Node Parser in your pipeline.

With Simple Directory Reader

The Docling Reader can also be used directly in combination with Simple Directory Reader, for example:

python

from llama_index.core import SimpleDirectoryReader

dir_reader = SimpleDirectoryReader(
    input_dir="/path/to/docs",
    file_extractor={".pdf": reader},
)
docs = dir_reader.load_data()
print(docs[0].metadata)
# > {'file_path': '/path/to/docs/2408.09869v3.pdf',
# >  'file_name': '2408.09869v3.pdf',
# >  'file_type': 'application/pdf',
# >  'file_size': 5566574,
# >  'creation_date': '2024-10-06',
# >  'last_modified_date': '2024-10-03'}