Building Multi-Agent AI Apps in Java with Spring AI and Azure Cosmos DB!
Summary
Custom Multi-Agent Orchestration Framework
Building AI apps with Large Language Models (LLMs) requires a balance between power and accuracy. By defining specific roles for each agent and distributing tasks among multiple agents, the multi-agent-spring-ai sample showcases a custom framework for orchestrating AI interactions. This framework includes pluggable agents, a central orchestrator, chat memory stored in Azure Cosmos DB, and a modular architecture built with Spring AI and Java.
Agent Encapsulation
Each agent in the framework has a defined role with specific responsibilities and capabilities. For example, agents can invoke tools like RAG (Retrieval-Augmented Generation) by leveraging vector search in Azure Cosmos DB through Spring AI integration. Agent routing is handled with an opinionated approach to ensure consistent user interactions and prevent incorrect transitions.
State Management
Context persistence is essential for coherent conversations and task execution. The chat memory component of the framework uses Hierarchical Partitioning in Azure Cosmos DB to store conversation history and manage user sessions for multi-tenancy support.
Foundation for AI App Development
For Java and Spring developers exploring AI, the multi-agent-spring-ai sample provides a starting point for agent orchestration, state management, and integration with retrieval-augmented generation. The framework sets the groundwork for observability and evaluation of AI applications.
Get Started
Explore the multi-agent-spring-ai GitHub repository to dive into the sample framework and start building your own custom multi-agent AI applications with Azure Cosmos DB and Spring AI.
Share Your Feedback
Share your experiences and feedback on using Azure Cosmos DB for building AI applications. Your input is valuable for improving the platform and enhancing the developer experience.
About Azure Cosmos DB
Azure Cosmos DB is a fully managed, serverless NoSQL and vector database designed for modern app development, including AI applications.