Coding a privateGPT using LANGCHAIN, HuggingFace Embeddings and FREE LLM
Are you concerned about the privacy of your documents and prefer not to share them online with third-party services? In this tutorial, we've got you covered! Discover how to create an offline chatbot that can seamlessly interact with your private documents, ensuring data confidentiality and complete privacy. Best of all, it won't cost you a dime!
Key Benefits:
🤖 Keep Your Data Offline: Your documents stay on your computer; no need to share them with online services.
🔒 Enhanced Privacy: Protect the privacy of your sensitive documents.
💰 Completely Free: Say goodbye to subscription fees or costs associated with embedding services.
Tools Used:
📊 Sentence Transformer Embedding Model
🧰 Langchain Library
🚀 GPT4all LLM Model
Prerequisites:
Basic knowledge of Python is all you need to follow along.
Getting Started:
This step-by-step tutorial will empower you to build your own chatbot, free of charge, and ensure the confidentiality of your private documents.
Privacy Assurance:
Your data is safe! The chatbot operates offline, and your documents never leave your computer.
Compatible Document Formats:
Works seamlessly with .PDF, .CSV, .TXT, .XLS, .PPTX, and more.
Get Started Today:
Access the tutorial and all necessary resources on our GitHub repository linked in the description.
Future Updates:
Stay tuned for potential enhancements or updates to make your offline chatbot even more powerful.
Chapters
00:00 - Intro
00:20 - Architecture of Chatbot
01:24 - Let's start coding!
01:54 - Ingesting documents into Chroma DB Vector Store
07:24 - Code for Questioning the document.
10:22 - Let's ask some questions
11:38 - Outro
Link of PrivateGPT : https://github.com/imartinez/privateGPT
Link to this Private-Chatbot: https://github.com/abidsaudagar/Priva...
My Talk with Quran video ( Chatbot ) : • Langchain + ChatGPT - Coding chatbot to ta...
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