Langchain: PDF Chat App (GUI) | ChatGPT for Your PDF FILES | Step-by-Step Tutorial

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"Build a ChatGPT-Powered PDF Assistant with Langchain and Streamlit | Step-by-Step Tutorial"

In this comprehensive tutorial, you'll embark on a project-based journey where we leverage Langchain and Streamlit to develop an interactive ChatGPT for your PDF documents. With the power of an LLM (Large Language Model) such as OpenAI's ChatGPT, we'll create an application that enables you to ask questions about PDFs and receive accurate answers.

Learn how to harness the power of Langchain, an open-source Python (and Javascript) framework, to create intelligent applications. Discover Langchain's capabilities in training GPT models on your data and generating personalized LLMs. Explore text embeddings and their integration with Langchain using OpenAI's API.

In this tutorial, we'll guide you through building a fully functional Streamlit application. Train GPT on PDF documents and fine-tune it to your specific use case. Experience the seamless user interface as you upload PDFs, ask questions, and receive prompt answers from the LLM.

Unleash Langchain's versatility in chatbots, document analysis, and more. Automate tasks and improve efficiency using Langchain with Streamlit.

Take your natural language processing skills to the next level. Start building powerful applications with Langchain today!

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Wow amazing! Now this retro fitted with privateGPT would be gold!

TheCopernicus
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Great stuff for explaining the flow of the architecture so well. I like the pace and also how details regarding each part of the architecture are explained with just enough details not to overwhelm the viewer.

drsctvn
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Tried the whole videos, really functional and you have a great insight in different concepts. Thanks a lot for this detailed video. Once of the best videos watched in recent times.

zkzmsmu
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It is my first time to know streamlit....That's amazing!!! Thanks for the sharing. Your step by step video is ultra clear... Thanks a lot.

fishandcat
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Learnt a lot from just this one video. Appreciate all the hard work that went into making these fantastic tutorials. Thanks very much.

ianabrahams
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Thank you for this clear, concise explanation. It’s definitely the best I’ve found so far. New to Langchain and quite excited. Thanks for your help.

bobhoward
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Great content, very well explained. Really appreciate the long videos with elaborate explanations.

shivamroy
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Thank you for these in depth videos. Learning so much. Thanks again!!

DouglasHeyen
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The pace, contents and explanation are all great. Thank you for a great video. Always checking your channel for great content.

nazihfattal
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Thank you for a beautiful step-by-step learning walkthrough. I like how you articulate each area clearly and precisely. Good on you, and keen to see more videos, and well done.

timmymanamperi
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It was one of the coolest video on LLMs thanks for sharing such knowledge, I learnt alot from this video.

devyanshrastogi
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Am halfway to the video and I am so excited, how easy you are making me to learn… kudos to you

ReviewSmartTech
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Great Video And you explained it really well too. Earlier I was confused about why langchain is used but your video helped me to understand !

Thank you !

Pubuditha
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Thank you for this video. Just signed up as a patron. Keep up the great work and all the best to you.

MrReesh
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Thank you so much, Ive been self taught on AI and this video has really helped me on AI... God Bless

georgetuges
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Well done, this is just what im looking for. now i just need to find out how to clean old scanned PDF files so i can chat with them. 👍

mrmoffett
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Keep up the great work. I love your detailed videos.

MichaelLass
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What would change if we decide to use an open source LLM, what lines should be changed and how? Would be a good idea for a future video

jorgerios
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One day you will get million pls make this amazingt videoes with new technologies daily for enhance our knowledge thank you so much brother !!!

neelsoni
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Extremely useful. Thanks for making this awesome useful project

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