Building a RAG Application from Scratch Using Python, Langchain, and OpenAI API.

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Welcome to our groundbreaking tutorial where we unveil the magic of implementing Retrieval-Augmented Generation (RAG) using Langchain! In this video, we'll guide you step-by-step through the process of connecting a Language Model (LLM) to your PDF data and transforming it into an intelligent question-answering system.

By leveraging the power of Langchain, we'll demonstrate how to seamlessly integrate your PDF documents with an LLM, enabling it to retrieve relevant information and generate accurate answers to your questions—straight from your PDFs!

Here's what you'll discover:

Setting up Langchain and connecting it to your PDF data.
Configuring your LLM to perform question answering on your PDF documents.
Real-time demonstrations of Langchain and the RAG model in action, answering questions from your PDFs with precision.
Tips and tricks for enhancing the capabilities of your RAG system and maximizing its utility.

Whether you're a researcher, student, or knowledge enthusiast, this tutorial will empower you to unlock the wealth of information hidden within your PDF documents. Get ready to revolutionize your document processing workflow and unleash the full potential of RAG with Langchain—let's dive in and transform the way you interact with your data!

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#rag #datascience #ai #ml #machinelearning #llm #chatbot #generativeai #tutorial #langchain #llama #deeplearning

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Finally, I can build my own RAG-based AI Applications. Great tutorial, excellent explanation thanks for this video.

aiforyounow

Great tutorial. it's very helpful to me.

Watttechs

You are my hero. Can you make a guide on how to use multiple pdfs?

Robinxander

trying to follow your tutorial and i keep getting the message ModuleNotFoundError: No module named 'langchain_community', any help with this?

paensamasquest

Hell bro, Im running a similar code on langchain but with different model, vectordb and embedding model because i tried to make everything opensource, but I run into the same issue of of the retriever doesnt manage to get the right chunks to be passed to the llm, how to mitigate that? similar to your question about the authors which it wasnt able to answer

ShadowDC

What the difference between this and just uploading a pdf into gpt4o & using prompt engineering. This more accurate?

mrd

Very helpful tutorial. Considering it's even recent.

I'm having an issue with the OPENAI_API_KEY I set in the .env file. I'm unable to load it. When i changed it to OPENAI_KEY it worked. Do you have an idea why this would happen?!

adebayoadenekan

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