Agentic

Choosing Java Agentic AI frameworks: Spring AI, LangChain4j, and Embabel implement the same Nutrition Planner workflow with different orchestration layers—hand-written Java concurrency, AgenticServices builders, or GOAP replanning.

Agentic topic modeling: modular embedding pipelines, LLM-maintained topic tables, and human-in-the-loop granularity—engineering trade-offs between BERTopic, TopicGPT, and retrieval-scale deployment.

Agentic RAG: When retrieval pipelines add LLM plan–act–observe loops, tool calling, and multi-step validation—separating verified docs from interview speculation for production teams.

Agentic AI in the Java Ecosystem: How Three Frameworks Clarify Orchestration Differences Through One Use Case