Summarizing and Querying Multiple Papers with LangChain

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In this video, I'll show you how to summarize and query multiple research papers using the LangChain library. We'll be working with three papers related to large language models and visual language models.

📚 Chapters:
0:00 - Intro
0:10 - Importing dependencies
1:32 - Setting up Large Language Model (LLM)
2:07 - Summarizing PDFs
3:23 - Testing the summarization function
4:52 - Saving summaries to text files
6:18 - Querying the research papers
9:11 - Example of querying multiple papers

We'll go through the process step by step, starting with importing dependencies, setting up the LLM, summarizing PDFs, and saving summaries to text files. We will then demonstrate how to query the research papers using natural language questions.

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I like the clear step by step description of each line of code. Liked and subscribed!

birdingtherapy
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Thanks for the video. When using VectorstoreIndexCreator and running .query(), what model is being used for the generation? I don’t see you specifying a model anywhere in the context of the vector store index

smr
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Hey man nice tutorial. But suppose I have a PDF document with a section like an Abstract, Introduction etc. Now I want section wise summary of how can I implement the same?

brothersofgenration
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Great video, thank you! How we can use our pdf paper database to help write a new scientific paper with the existing papers as references? I want to generate new text with the papers, not just simply summarize the info within them. Thanks again!

DrDanielCho-Kee
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Can it give summarization for any research documents?

vinitkulal
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which SLM you would recommend for handling summaries in both English and French .thank you

yasminesmida
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dont u need openai key when u import openai lib and referencing it below?

Pradeep
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Hi, Great work!, i am trying to store the summary of each chunk in a single pdf file. can you please me with it?

pavithrak
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How can we do the same if we want to do this with txt, pdf, pptx, etc

harshsinha
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Curiously waiting for a multiple webdoc crawl / scrape / search solution, like Langchain's Python / JS docs + OpenAI docs + their Github repos.

attilavass
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Is think Lanchain has a flag which returns the source of each response?

RedCloudServices
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Thank you this is exactly what I needed, so helpful. A quick question, can you show us how to use the Custom Prompt step that is commented out. This is exactly the feature I need, which steps are required to be run before I can run Step 21 (Custom Prompts). Thanks

Also it would be amazing to show us how to save the summaries into a spreadsheet (CSV or XLS) file instead of a txt file. Where it puts the Study Title (Column A), Study Date (Column B), Custom Query (Column C). That would be monumental.

VastIllumination
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hi, are there free open source alternatives rather than OpenAI?

prakyathkini
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can the same be done with hugging face?

muskanrath
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good work, may i know this required to use openAI API?

weihongyeo
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Excellent. Can we have the same Chat-Gpt UI and history with langchain ?

massibob
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Someone can solve pass `disallowed_special=()'?

marcellosaccomani