How to load and parse a large PDF from stream chunk by chunk without loading it completely in the memory? #27739
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Hey @atharva-uptiq! I'm here to help you out with any bugs, questions, or contributions you might have. Let's solve this together! LangChain provides support for handling large PDF files using streams, but primarily in Python. For JavaScript, you might need to look into libraries like For handling streams from GCS or S3, you can use the respective SDKs to create a read stream and then pipe this stream into your PDF processing logic. Here's a general approach:
For other document types like CSV, DOCX, or Excel, you can use libraries such as While LangChain doesn't provide JavaScript-specific tools for this task, these libraries and approaches should help you achieve your goal of processing large files in chunks. |
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I’m working on a project where I need to load and parse a large PDF file (over 2GB) from a stream without loading the entire file into memory. I have a ReadStream created from Google Cloud Storage (GCS) / S3, and I want to process the PDF using JavaScript (node).
My goal is to efficiently read the PDF in chunks, extracting text and other relevant data for further processing.
Additionally, I would like to know how this approach can be extended to handle other document types, such as CSV, DOCX, or Excel files.
If anyone has experience with handling large PDFs in this way or can provide insights on best practices for stream processing, I would greatly appreciate your help!
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