<ul data-eligibleForWebStory="true"><li>Developers using LangChain4j for AI-powered chatbots need to provide multiple messages when invoking the chat() method due to the stateless nature of Language Models (LLMs).</li><li>LLMs do not retain contextual information from previous interactions, requiring developers to pass all previous messages for accurate responses.</li><li>LangChain4j introduces ChatMemory to simplify conversation state management automatically, crucial for building multi-turn bots or assistants.</li><li>Understanding the need for multiple messages and utilizing tools like ChatMemory is essential for developers working on AI chat applications with LangChain4j.</li></ul>

Why Multiple ChatMessages Matter in LangChain4j to Build Smarter Conversations with LLMs

Discover more