How to Build a Local AI Agent With Python Using Ollama, LangChain and RAG

Learn how to build local AI agents using Python in this 28-minute tutorial. Discover the process of creating a fully local and free-to-run AI system using Ollama, LangChain, and ChromaDB as a vector search database. Follow along with a complete project demonstration, Python setup and installation instructions, Ollama configuration, and implementation of local Large Language Models. The tutorial covers setting up a vector store database and connecting it with your LLM to create a functional Retrieval-Augmented Generation (RAG) system. All code is available on GitHub, with additional resources provided for Ollama library, download links, and related educational content on virtual environments and Ollama usage.