In this video, we dive deep into building a Chatbot with your Database app using the RAG (Retrieval Augmented Generation) pattern, powered by: 🐘 MySQL Database for storing and retrieving real data 🦙 Llama LLM Model running locally via Ollama 🌱 Spring AI ( ) to seamlessly integrate GenAI capabilities with your Spring Boot applications You'll learn how to: Connect your MySQL database and fetch data dynamically Integrate Ollama to run Llama models on your local machine Implement a full RAG pipeline using Spring AI Build a REST API that answers natural language questions about your database content Chatbot implementation using Spring AI with your Database(my sql). How to build Chatbot with Spring Boot using Spring AI. 🔧 Tech Stack Used: Spring Boot + Spring AI MySQL Database Ollama (local LLM server) Llama Model (Llama 2 / Llama 3) Source Code: More Videos: Core Java Tutorial: Core Java FAQs : My SQL Tutorial : Python : Spring boot Tutorial: Spring boot FAQs : Spring Boot AI Tutorial: AG Grid Tutorial : Github Copilot for Eclipse: Github Copilot : Google Gemini : Vector Database Tutorial: Ollama tutorial : Java 24/jdk 23 : Google Cloud GKE : Google Cloud : React JS Tutorial : Eclipse Plugin Tutorial: ✨ Whether you're exploring Gen AI, RAG architectures, or just love building smart apps with Spring Boot, this tutorial will help you get started easily! #OllamaModel #JavaDevelopment #AIIntegration #AIPoweredProjects #SpringFramework #ai #spring #springboot #springAI #machinelearning #artificialintelligence #javaprogramming #java #ollama #springframework #ragi #database #mysql #chatgpt #chat