OpenGPTs vs. ChatGPT Store: Which Will Dominate?
In this video, the presenter introduces OpenGPTs, an open-source alternative to OpenAI’s ChatGPT Store. OpenGPTs allows users to leverage over 60 large language models and more than 100 LangChain tools to create dynamic AI applications locally, ensuring data privacy. The video provides a step-by-step guide to setting up the environment, integrating various models with LangChain, and showcasing the three core functionalities of OpenGPTs: creating assistants, information retrieval (RAG), and chatbot creation.
Key points include:
1. **Introduction to OpenGPTs**: OpenGPTs is a free, open-source platform that can run locally and integrate with various open-source models, keeping data private.
2. **Setting Up the Environment**: Instructions are provided for downloading and running Docker and Redis, cloning the OpenGPTs repository, and setting up the backend and frontend.
3. **Creating a Basic Chatbot**: The presenter demonstrates how to create a basic chatbot using OpenGPTs and test its functionality.
4. **Setting Up RAG Feature**: The process of setting up the Retrieve and Generate (RAG) feature is shown, including uploading documents and querying them for information retrieval.
5. **Creating an AI Assistant**: The video explains how to create an AI assistant that can use various tools (similar to plugins in ChatGPT) to perform tasks and answer queries.
6. **Integrating OL Llama**: The presenter shows how to integrate OL Llama with OpenGPTs by modifying the backend code to use OL Llama models.
The video concludes by encouraging viewers to set up OpenGPTs on their computers and explore its capabilities. The presenter also invites viewers to share their experiences and solutions, especially regarding the RAG feature integration.