Comparing Agentic AI Frameworks for Java
summary
Compares Spring AI, LangChain4j, and Embabel by showing the same nutrition-planner app implemented three ways (repo linked). Shows Spring AI running a recursive advisor that repeats LLM calls until structured output validates, LangChain4j using its agentic module with a sequence builder and a hard iteration cap (example sets three validation iterations), and Embabel using A search planning plus an unfolding tool* to select few tools and save tokens. Demonstrates working demos, MCP/tool-calling support, and notes Embabel is not GA yet.
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chapters (9)
- 0:00Introduction to agentic AI
- 1:51Core concepts and glossary
- 6:46Agentic AI architecture
- 13:56Nutrition planner demo
- 17:10Overview of Java frameworks
- 22:35Spring AI implementation
- 28:06LangChain4j implementation
- 32:20Embabel and framework comparison
- 40:06Conclusion and resources
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