Building Local Agents with LangGraph, Llama 3.2, and Chroma Vector Store

Learn to build a Local Agent through a 45-minute video tutorial that demonstrates the implementation of LangGraph with Vector Store Chroma and Nomic.ai embeddings. Explore the integration of Llama 3.2 8B instruct model in GGUF int8 format for efficient local processing. Access the complete implementation details through the provided GitHub repository, which includes practical examples and code demonstrations for creating a robust Retrieval-Augmented Generation (RAG) system. Master the fundamentals of combining these powerful tools to develop a functional local agent for data science and machine learning applications.