Integrate Ollama with LocalGPT: Step-by-Step Guide
In this video, the presenter demonstrates how to use the Ollama model with LocalGPT, a project that allows users to chat with their documents on local devices or private clouds using local language models (LLMs). The video is structured as a step-by-step guide, covering the setup of LocalGPT, document ingestion, configuring Ollama, and integrating it with LocalGPT.
Key points include:
1. **Introduction to LocalGPT and Ollama**: LocalGPT is a project that enables private and secure document interaction using LLMs. Ollama is highlighted as a powerful option for running local LLMs.
2. **Setting Up LocalGPT**: Instructions are provided for cloning the LocalGPT repository, creating a virtual environment, and installing required packages.
3. **Document Ingestion and Vector Store Creation**: The process of ingesting documents to create a vector store is demonstrated, using a sample document to showcase the steps.
4. **Configuring Ollama**: The presenter shows how to download and install Ollama, and how to choose and run an LLM using Ollama.
5. **Integrating Ollama with LocalGPT**: Two additional lines of code are added to integrate Ollama with LocalGPT. The video explains how to modify the Run Local GPT file to load the model from Ollama.
6. **Running LocalGPT with Ollama**: The presenter runs LocalGPT with the integrated Ollama model and demonstrates querying the model with a sample question, showing the successful interaction and response.
The video concludes by highlighting the flexibility of LocalGPT and encouraging viewers to explore its capabilities and join the community for further support and collaboration.