This is a summary of the full tutorial published on howtostartprogramming.in.
TL;DR Spring AI is the Spring ecosystem’s unified abstraction layer for generative AI services (LLMs, embeddings, vector stores, chat‑agents, etc.). In 2026 it matters because: It hides vendor‑specific APIs (OpenAI, Anthropic, Azure, AWS Bedrock, etc.) behind a single, type‑safe Spring interface. It integrates natively with Spring Boot, Spring Cloud, and the new spring-boot-starter-ai starter, enabling rapid prototyping and production‑grade observability. It supports the emerging AI‑first architecture patterns: RAG pipelines, tool‑calling agents, and multimodal workflows. The tutorial walks you through building a complete end‑to‑end Spring Boot application that: Configures an LLM (e.g., OpenAI GPT‑4o) via Spring properties. Creates an EmbeddingModel and stores vectors in a PostgreSQL‑PGVec
📖 Read the Full Tutorial
🔗 Spring AI complete tutorial getting started guide 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.
Top comments (0)