Quick Fix: You can create a directory loader in python using PyPDFDirectoryLoader to load multiple pdfs simultaneously.
The Solutions:
Solution 1: PyPDFDirectoryLoader
Here is a modified version of your code that uses `PyPDFDirectoryLoader` to load multiple PDFs:
from langchain.document_loaders import PyPDFDirectoryLoader
loader = PyPDFDirectoryLoader("docs")
data = loader.load()
The PyPDFDirectoryLoader loads all the PDFs in a specified directory. You can then use the rest of your code to process these PDFs as you did with a single PDF.
Note that you may need to adjust the chunk_size parameter of the RecursiveCharacterTextSplitter to a larger value to accommodate the larger size of multiple PDFs.
Q&A
Can you give me a code that can load multiple PDFs at once?
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Yes, you can load multiple PDFs with PyPDFDirectoryLoader.
How do you use PyPDFDirectoryLoader?
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You can use PyPDFDirectoryLoader by passing the directory path to the constructor of the PyPDFDirectoryLoader. The constructor will load all the PDFs in the directory.
How do I ask questions against multiple documents?
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To ask questions against multiple documents, you can use the similarity_search() method of a vector store to find the most similar documents to your query. Then, you can ask your question to each of the similar documents using a text embedding model, such as OpenAI or Pinecone.
Video Explanation:
The following video, titled "GPT-4 Tutorial: How to Chat With Multiple PDF Files (~1000 pages ...", provides additional insights and in-depth exploration related to the topics discussed in this post.
In this video we'll learn how to use OpenAI's new GPT-4 api to 'chat' with and analyze multiple PDF files.
