In this full-stack tutorial, learn how to build Generative AI application Chatbot using Spring AI, React JS, Ollama, and LLM models like LLaMA, Mistral, or Gemma — all running locally or via APIs. Open ai concept with Generative AI concept usage. Different types of Vector Databases like FAISS, Milvus, Pinecone, Weaviate, Chroma, Qdrant, Vespa, Redis (Vector Search), ElasticSearch (k-NN) and Annoy. 💡 Whether you're a Java developer, full-stack engineer, or AI enthusiast, this project will help you: ✅ Set up Spring AI backend with tool-based agents and memory ✅ Use Ollama to run LLMs like LLaMA or Mistral locally ✅ Connect your chatbot to a React JS frontend with real-time communication ✅ Build an intelligent, modular, and extensible Generative AI application 🔧 Technologies Used: Java + Spring Boot (Spring AI) React JS Ollama (Local LLMs) Open Source LLMs (LLaMA, Gemma, Mistral) In-memory vector DB (optional) Whether you're a beginner or experienced developer, this tutorial will help you understand how to leverage modern AI tools and frameworks to create production-ready AI applications. Source codebase : More Videos: Core Java Tutorial: Core java Multithreading: Core Java FAQs : My SQL Tutorial : Artificial Intelligence: 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: