How to build Context Aware ChatBot with Gemini API | Java Spring AI Full Project |Latest Update 2026
Stop building "forgetful" AI! In Episode 3 of our 'Spring AI: Zero to Hero' series, we transition from stateless prompts to a professional, context-aware chatbot. We dive deep into how to make your AI remember who it’s talking to, keep user conversations siloed (private), and manage memory efficiently using the latest Spring AI 1.1.2 features.
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💻 *SOURCE CODE & RESOURCES*
🔗 *GitHub Repository:* https://github.com/shafqatgreat/Java_...
📂 *Episode 03 Branch:* `feature/chat-memory-implementation`
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🧠 *CONCEPTS COVERED*
✅ *AI State Management:* Understanding Stateless vs. Stateful interactions.
✅ *Conversation Siloing:* Using `userId` to keep data private between users.
✅ *The Advisor Pattern:* Using `MessageChatMemoryAdvisor` to intercept and enrich prompts.
✅ *In-Memory Storage:* Implementing `InMemoryChatMemoryRepository` for fast RAM-based history.
✅ *The "Amnesia" Feature:* Implementing a `DELETE` mapping to wipe specific user history.
✅ *Contract Syncing:* Aligning Java Records with JavaScript Frontend logic.
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🛠️ *TECHNOLOGIES USED*
☕ *Java 21* (with Virtual Threads)
🍃 *Spring Boot 3.4.x*
🤖 *Spring AI 1.1.2* (Latest Milestone)
✨ *Google Gemini AI API*
🌐 *Vanilla JavaScript & HTML5* (Frontend)
🔨 *Maven* (Build Tool)
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*WHO IS THIS FOR?*
*Java Developers* looking to integrate LLMs into real-world apps.
*Students* following the "Zero to Hero" roadmap.
*Tech Architects* interested in multi-user AI system design.
*CodingMavrick Community* members building alongside the series!
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⏳ *TIMELINE*
00:00 - Introduction: The Problem of AI Amnesia
01:30 - Deep Dive: What is MessageChatMemoryAdvisor?
03:15 - Coding: Setting up InMemoryChatMemoryRepository
06:00 - Building the Service: Linking Memory to UserID
08:45 - The Frontend: Adding UserID & Clear History Buttons
11:30 - The "Triple Test": Identity, Siloing, and Wiping
14:00 - Final Review & Episode 04 Preview
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💡 *ALTERNATE TITLES*
1. Mastering AI State: Implementing MessageChatMemoryAdvisor & InMemoryChatMemoryRepository
2. Stop AI Amnesia! Setup MessageChatMemoryAdvisor & InMemoryChatMemoryRepository in Spring AI
3. Spring AI Multi-User Memory: Deep Dive into InMemoryChatMemoryRepository & Advisor API
4. The Senior Dev’s Guide to MessageChatMemoryAdvisor & InMemoryChatMemoryRepository
5. How to Build a "Context-Aware" Bot using MessageChatMemoryAdvisor & Spring AI
6. Silo User Chats Safely with InMemoryChatMemoryRepository & MessageChatMemoryAdvisor
7. Spring AI 1.1.2: Persistent Conversations with MessageChatMemoryAdvisor & Memory Repositories
8. InMemoryChatMemoryRepository & MessageChatMemoryAdvisor: The Secret to Professional AI Bots
9. Ultimate Chat Memory Guide: Implementing MessageChatMemoryAdvisor in Spring Boot
10. Level Up Your Chatbot: Integration of MessageChatMemoryAdvisor & InMemoryChatMemoryRepository
11. Give Your AI a Memory: Using MessageChatMemoryAdvisor to Store Conversation State
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🔑 *KEYWORDS*
Spring AI, Java AI, Google Gemini, Spring Boot Tutorial, MessageChatMemoryAdvisor, InMemoryChatMemoryRepository, Chat Memory AI, Multi-user AI, Java Software Development, Spring AI 1.1.2, CodingMavrick, LLM Integration, AI Context Management, Spring Boot 3, Java 21 AI, Virtual Threads Spring, AI Chatbot Tutorial, Spring AI Memory, OpenAI Spring Boot, Gemini API Java, Maven AI Project, AI State Management, Full Stack AI, Technical Tutorial, Java Backend AI, Spring Framework, AI Conversation ID, Vector Databases, Retrieval Augmented Generation, RAG Java, AI Identity, ChatClient Spring AI, Spring AI Advisor, Software Architecture, REST API AI, JSON Response Java, JavaScript AI Fetch, Web Development AI, Java Microservices, Spring AI Examples, Coding Tutorials, Programming 2026, AI Personalization, Private AI Chat, Chat History Java, Spring Security AI, API Key Management, Senior Developer Tips, Full Stack Java, AI Roadmap
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