How to Create LOCAL Chatbots with GPT4All and LangChain [Full Guide]

Video Description

📚 Join the #1 community for AI entrepreneurs and connect with 200,000+ members: https://bit.ly/skool-ov 📈 We help industry experts, entrepreneurs & developers build and scale their AI Agency: https://bit.ly/aaa-accelerator-ov 🤝 Need AI Solutions Built? Work with me: https://bit.ly/morningside-ai-ov ⚒️ Build AI Agents Without Coding: https://agentivehub.com/ 🚀 Apply to Join My Team at Morningside AI: https://bit.ly/ms-youtube-lo 🚀 Apply to Join My Team at AAA Accelerator: https://bit.ly/aaa-youtube-lo My Vlog/BTS Channel: https://bit.ly/LiamOttleyVlogs In this video I show you how to setup and install GPT4All and create local chatbots with GPT4All and LangChain! Privacy concerns around sending customer and organizational data to OpenAI APIs is a huge issue in AI right now but using local models like GPT4All, LLaMa, Alpaca etc can be a viable alternative. I did some research and figured out how to make your own version of ChatGPT trained on your own data (PDFs, docs etc) using only open source models like GPT4All which is based on GPT-J or LLaMa depending on the version you use. LangChain has great support for models like these so in this video we use LangChain to integrate LLaMa embeddings with GPT4All and a FAISS local vector database to store out documents. Mentioned in the video: Code: https://github.com/wombyz/gpt4all_langchain_chatbots GPT4ALL (Pre-Converted): https://huggingface.co/mrgaang/aira/blob/main/gpt4all-converted.bin Embedding Model: https://huggingface.co/Pi3141/alpaca-native-7B-ggml/commit/397e872bf4c83f4c642317a5bf65ce84a105786e Mac User Troubleshooting: https://docs.google.com/document/d/1JDMBTOjbRtJo49z1SKEnvfG1a4JQMjWFT7hvfZZU4vQ/edit?usp=sharing Timestamps: 0:00 - What is GPT4All? 2:28 - Setup & Install 7:13 - LangChain + GPT4All 11:42 - Custom Knowledge Query 19:42 - Chatbot App 24:19 - My Thoughts on GPT4All