Chat with Multiple PDFs | Built Your RAG Application in 10 min ! | Chat with your Document

Published: 23 June 2024
on channel: Simplify AI
1,131
34

Private Chat with your Documents with Ollama and PrivateGPT | simplify ai| Chat with Multiple PDFs | LangChain App Tutorial in Python (Free LLMs and Embeddings) | #ai #artificialintelligence #futuretech #science #ailearning #aiinnovation #deeplearning

Important Link:

GitHub link: https://github.com/Sumit-Pluto/Chat-w...
OpenAI Platform: https://platform.openai.com/docs/over...
Conda install:    • Download Miniconda on Windows: Error-...  

Check out our playlist:
Tech update:    • 2) Tech Update | All  

Local GPT:    • RAG | LocalGPT  

AI Application:    • Playlist  

Description :

So, hey everyone, welcome to this amazing channel. Today we are going to build a RAG, or retrieval augmented generation, application. Or we can say our private GPT for our document.Okay, so let’s get started.In this video, we'll cover the following main files needed to build our application:
1. app.py: Our main file that contains all the code for text embedding and generating responses using LLM.
2. HTML File: Contains the basic HTML code for logo width and height.
3. requirements.txt: Lists all the packages required to run our application, including LangChain, PyPDF, Streamlit, and FAISS.
4. .env File: Contains our OpenAI API key.
We'll also walk through:
Setting up a new virtual environment with Conda.
Installing necessary packages from the requirements file.
Reviewing the code to understand how everything works.
Running the Streamlit web app and uploading documents.
Using the application to retrieve information from large documents.
We’ll start by creating a virtual environment, activating it, and installing the required packages. We’ll then dive into the code, explaining how each part works, and finally test our application.
In future videos, we will show how to perform the same tasks locally without any API.
Stay tuned for more tutorials, and don't forget to like, comment, and subscribe for more tech content.
Hashtags: #AI #MachineLearning #DeepLearning #NaturalLanguageProcessing #GPT3 #PythonProgramming #DataScience #Streamlit #OpenAI #TechTutorial
Tags: AI, Machine Learning, Deep Learning, Natural Language Processing, GPT-3, Python, Data Science, Streamlit, OpenAI, Tech Tutorial

Links and Code:

GitHub link: https://github.com/Sumit-Pluto/Chat-w...


Watch video Chat with Multiple PDFs | Built Your RAG Application in 10 min ! | Chat with your Document online without registration, duration hours minute second in high quality. This video was added by user Simplify AI 23 June 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 1,131 once and liked it 34 people.