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 (v1.0.0-M6) 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:
https://github.com/zestprime/springboot/tree/main/spring-ai-rag-db
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✨ 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!