Quick Fix: Ensure that the persist directory is unique for each input PDF. Here’s a modified version of your code with a unique persist directory for each PDF:
for pdf in pdfs:
with tempfile.TemporaryDirectory() as persist_dir:
result = summarize_pdf(pdf, persist_dir=persist_dir)
The Problem:
When using a code sequence to summarize PDF documents with LangChain, the program fails to generate accurate summaries for multiple PDF files. The code works correctly for the first PDF but continues to produce summaries for the initial PDF when subsequent PDFs are processed. This issue persists despite attempts to rename variables and restart the Python interpreter. The problem suggests that embeddings from the first PDF are being retained and interfering with the processing of subsequent PDFs.
Q&A
How to use the same code to summarize another PDF?
—
Change the persist directory so its different on each
Why embeddings of the first PDF/previous round get stored and not deleted?
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The ‘persist_directory’ is the same
Video Explanation:
The following video, titled "How to Summarize PDF Using LangChain | OpenAI | Gradio ...", provides additional insights and in-depth exploration related to the topics discussed in this post.
... summarize pdf in few lines of code using LangChain and OpenAI model. If you are a UI person, you will also learn how to do the same task in ...
