A walkthrough of building a Spring Boot 4 REST API that fetches term definitions from Wikidata, orchestrated by an Embabel agent. The demo requires no API keys and no local LLM installation. Embabel is used to model the workflow as typed actions and goals, with a NOOP ChatModel satisfying Spring AI's startup requirements. The tutorial covers Maven setup, domain model with Java records, a RestClient-based Wikidata repository, agent definition with @Action and @AchievesGoal annotations, and a service/controller layer. Logs show Embabel's planning and typed object binding. Extensions discussed include disambiguation, multi-language support, confidence scoring, caching, multi-source enrichment, and optional LLM post-processing.

13m read timeFrom foojay.io
Post cover image
Table of contents
TL;DRPart I — ConceptsPart II — App building (code + explanations)Part III — DemoPart IV — Conclusion and extensions

Sort: