Working with low-level components like ChatModel, ChatMessage, and ChatMemory can lead to writing a lot of boilerplate code when building LLM-powered applications.
AI Services provided by LangChain4j offer a simplified, declarative API to abstract the complexities of working with LLMs and related components.
Key capabilities of AI Services include formatting input for LLMs, parsing output from LLMs, and support for features like chat memory, tool integration, and Retrieval-Augmented Generation (RAG).
AI Services are suitable for building stateful chatbots with multi-turn interactions and stateless automation tasks, providing a cleaner and faster way to interact with LLM models.