Building a Local RAG System with Ollama and Gemma: A Complete Guide - Part 3

Deploying Your Local RAG System with Chat Memory to Google Cloud Platform Deploying Your Local RAG System with Chat Memory to Google Cloud Platform This is the third installment in our comprehensive series on building and deploying RAG (Retrieval-Augmented Generation) systems. In Part 1 , we built a foundational RAG system using Ollama and Gemma. In Part 2 , we enhanced it with Redis-based chat memory functionality. Now, we’ll take the next crucial step: deploying our memory-enhanced RAG system to Google Cloud Platform (GCP) for production use. Moving from local development to cloud deployment opens up new possibilities for your RAG system. You’ll gain better accessibility, scalability, and the ability to serve multiple users simultaneously while maintaining the same powerful local AI capabilities we’ve built. Why Deploy to Google Cloud Platform? Before diving into the deployment process, let’s understand why GCP is an excellent choice for hosting your RAG ...