simple-rag-workflow

Simple RAG Workflow with LlamaIndex

A basic implementation guide for building a Retrieval-Augmented Generation (RAG) system using LlamaIndex.

Prerequisites

• Python 3.10+
• Ollama

Installation

1. Install Ollama:

macOS

curl -fsSL https://ollama.com/install.sh | sh

Linux

curl -fsSL https://ollama.com/install.sh | sh

2. Pull the Llama 2 model:

ollama pull llama3.2

Project Overview

This project demonstrates how to:

• Set up a basic RAG system using LlamaIndex
• Integrate with Ollama for local LLM inference
• Process and index documents for retrieval
• Generate contextual responses using the indexed knowledge

Getting Started

1. Clone this repository
2. Follow the installation steps above
3. Run the Jupyter notebook workflow.ipynb to see the RAG system in action

Note

Make sure Ollama is running in the background before executing the notebook:

ollama serve