This is a summary of the full tutorial published on howtostartprogramming.in.
Introduction Welcome to the 2026 AI Document Summarizer tutorial, where we combine the power of Spring Boot with the latest LangChain4j library. In this post you’ll learn how to: Set up a Spring Boot project that integrates LangChain4j out‑of‑the‑box. Configure a modern LLM (e.g., OpenAI GPT‑4o or Anthropic Claude‑3.5) via the new langchain4j-spring-boot-starter . Upload, chunk, and embed documents using DocumentLoader and EmbeddingModel . Generate concise, context‑aware summaries with a single REST endpoint. Run the application locally and deploy it to a cloud‑native environment (Docker, Kubernetes, or Azure App Service). The table below gives a quick snapshot of the core components you’ll encounter in the tutorial. Component Purpose Key Class / Annotation Spring Boot Starter Bootstraps L
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🔗 AI document summarizer with Spring Boot LangChain4j tutorial 2026 — Full Guide with Code Examples
The full article includes:
- ✅ Step-by-step code examples (copy-paste ready)
- ✅ Complete working project (Spring Boot / Java)
- ✅ Common mistakes + fixes
- ✅ Production tips and benchmarks
- ✅ FAQ section
Published on How to Start Programming — practical AI and Java tutorials for developers.
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