Kickstart Your Local RAG Setup: A Beginner's Guide to Using Llama 3 with Ollama, Milvus, and Langchain

This guide provides a beginner's approach to setting up a Retrieval Augmented Generation (RAG) system using Ollama, Llama 3, Milvus, and Langchain. The RAG technique enhances large language models (LLMs) by integrating additional data sources. In this tutorial, we will build a question-answering chatbot that can answer questions about specific information. Key components of the setup include indexing data using Milvus, retrieval and generation with Llama 3, and interaction with data using Langchain. The guide assumes familiarity with Docker and Docker Compose, as well as installation of Milvus Standalone, Ollama, and other necessary tools.