[Question]: PDFReader how to specify chunk size ?

[xrtechspot]

Question Validation

• [X] I have searched both the documentation and discord for an answer.

Question

Here is a way to specify in loader chunk size tu use?

PDFReader = download_loader("PDFReader") loader = PDFReader() chunks = loader.load_data(file=Path(file_path))

Thank you

[dosubot[bot]]

🤖

Hello,

Thank you for your question. Currently, the PDFReader class in the LlamaIndex codebase does not have a parameter to specify the chunk size when loading data from a PDF file. The load_data method in the PDFReader class only takes a file parameter of type Path and an extra_info parameter of type Optional[Dict].

Here is the method signature for reference:

def load_data(
    self, file: Path, extra_info: Optional[Dict] = None
) -> List[Document]:

In the method body, the PDF file is opened and read in its entirety without any chunking:

with open(file, "rb") as fp:
    # Create a PDF object
    pdf = pypdf.PdfReader(fp)

Therefore, there is no provision for specifying a chunk size when loading data from a PDF file in the current implementation of the PDFReader class.

If you need to process the PDF file in chunks, you might need to implement this functionality yourself. You could, for example, modify the load_data method to take an additional parameter for the chunk size and then read the PDF file in chunks of that size.

I hope this answers your question. If you have any further questions, please feel free to ask.

Best regards, Dosu

Sources

• how do I split a large pdf?
• llama_index/readers/file/docs_reader.py
• llama_index/readers/file/base.py

---

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[logan-markewich]

@xrtechspot there is not, right now it just creates one document object per page (this helps with citations using the metadata, since the page number goes into the metadata)

[logan-markewich]

You can specify the chunk size when you actually convert the documents into nodes

[xrtechspot]

You can specify the chunk size when you actually convert the documents into nodes

how to do that ?

[logan-markewich]

Usually, just set the chunk size in the service context

from llama_index import ServiceContext, VectorStoreIndex

service_context = ServiceContext.from_defaults(chunk_size=512)

index = VectorStoreIndex.from_documents(documents, service_context=service_context)