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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