Enabling AI in Enterprise Java with Spring AI, Multi-Agents RAG and LiteLLM
Overview With Spring AI Multi-Agent RAG, I wanted to explore how AI capabilities can be integrated into a Java and Spring-based backend in a way that makes sense for enterprise teams. Instead of forcing organizations to jump to a completely different ecosystem just to work with LLMs, this project shows that existing Spring Boot applications, Java teams, and enterprise architectures can adopt AI capabilities directly within the stack they already use. A lot of AI tooling still assumes teams are ready to rebuild around Python-first frameworks. That is fine for experimentation, but it is not how most enterprise systems work. The practical question is not whether AI can be built in Python. Of course it can. The real question is whether existing enterprise teams can add AI capabilities without abandoning the stack, language, and operational model they already trust. · Java · Spring Boot ·...