Create a PDF Search and Summarization Tool in less than 100 Lines of Code: GPT-Index and Streamlit

In this tutorial, you'll learn how to build a powerful semantic search application using Streamlit and GPT-Index (Llama Index). With this app, users can easily upload their PDF file, search for specific information within the document, and even generate a summary of the document. The PDF viewer on the UI allows for easy navigation and readability of the uploaded document. By following the step-by-step guide, you'll be able to create an app that streamlines the process of searching and summarizing large documents.

#python #streamlit #chatgpt

[warrenbaker]

You are so inspiring!! I get great benefit from watching your content and I love that the content is related to solving world problems!! We need more AI experts like you.

[iiTzMemo]

Would that work with ollama and local llm models too?

[yuktithakral]

how did u created a virtual enviroment ?
can u pls explain

[alivohra]

Hey man - this does not work! I get the following error when I pull the github code from your repo!

cannot import name 'GPTSimpleVectorIndex' from 'llama_index'

[iuidehx]

Great video. Thanks for covering it...

[sandeepsasikumar]

Bro, Please explain each step of code your doing, as i am a beginner i could not understand every piece of code without getting little explanation😊

[boybecomesmanke]

Can one use this to query thousands of files?

[wryltxw]

how does Llama Index compared against LangChain?

[crisgath]

Great content indeed. Keep up the great work

[Kaan]

How can I use free llm model instead of opeai ?