Spring AI vs LangChain4j: Which Java AI Framework Should You Choose in 2026?
Article summary
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Earlier this year, I needed to add an AI assistant to a Spring Boot application I maintain. Nothing exotic -- just a chat interface that could answer questions about the system's documentation. I had two obvious choices: Spring AI or LangChain4j. I assumed it would be a quick decision. Both frameworks are mature. Both support the major LLM providers. Both have Spring Boot integrations. How different could they be? Six weeks and two prototypes later, I learned that the differences matter a lot…
1Key Takeaways
- Earlier this year, I needed to add an AI assistant to a Spring Boot application I maintain.
- Nothing exotic -- just a chat interface that could answer questions about the system's documentation.
- I had two obvious choices: Spring AI or LangChain4j.
- I assumed it would be a quick decision.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that earlier this year, I needed to add an AI assistant to a Spring Boot application I maintain.
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