Building a Local RAG System with Ollama and Gemma: A Complete Guide
Building a Local RAG System with Ollama and Gemma: A Complete Guide Retrieval-Augmented Generation (RAG) has revolutionized how we interact with large language models by combining the power of information retrieval with text generation. In this comprehensive guide, we’ll walk through creating a complete RAG system that runs entirely on your local machine using Ollama and the Gemma 2B model. Why Build a Local RAG System? Before diving into the implementation, let’s understand why building a local RAG system is beneficial: Data Privacy : Your sensitive documents never leave your machine Cost Efficiency : No API costs or usage limits Offline Capability : Works without internet connectivity Customization : Full control over the model and parameters Scalability : Process large document collections without external constraints What is RAG? RAG (Retrieval-Augmented Generation) combines two key components: Retrieval System : Searches for relevant...