Chapter 8: LangChain4j Chat Memory & Chat History | Internal Memory Management | Java 17 Spring Boot

In this video, we continue our LangChain4j AI Services implementation and improve the chat memory management of our application. I hope you've already gone through my LangChain4j AI Services implementation playlist, because this video builds directly on that implementation. GIT REPO: https://github.com/aditya8642/langcha... In this tutorial, we will: Upgrade LangChain4j to the latest version used in the project Understand the LangChain4j BOM and dependency management Update APIs after the LangChain4j upgrade Understand and use @MemoryId Configure ChatMemoryProvider Remove our custom ConcurrentHashMap based memory management Let LangChain4j manage chat memory internally Access the internally managed ChatMemory Retrieve messages using chatMemory.messages() Create a Chat History REST API Return only user and AI messages Understand UserMessage, AiMessage and ToolExecutionResultMessage Create a clean DTO for exposing chat history through REST We'll also see how the same user's conversations can be maintained using @MemoryId while keeping different users' memories separate. This is a practical implementation using Java 17, Spring Boot and LangChain4j. Technologies covered Java 17 Spring Boot LangChain4j LangChain4j AI Services ChatMemory ChatMemoryProvider @MemoryId Mistral AI REST API #LangChain4j #ChatMemory #chathistory #java #springboot #ai #LangChain4jTutorial #java17 #aiservices #generativeai #springai #aiapplications