🔸 TL;DR
LangChain4j is a Java library to ship LLM features faster (chat, RAG, agent-like flows).
It gives you a unified API across providers + AI Services (Java interfaces → proxies), with tools/function calling, memory, streaming, and structured outputs.
🔸 TAKEAWAYS
▪️ Model your LLM feature like a Spring service: interface → generated implementation
▪️ Use it for chat, summarization, classification, and document Q&A (RAG)
▪️ Add tool calling to connect the model to real Java methods (safe, controlled actions)
▪️ Don’t trust outputs blindly: hallucinations + prompt injection are real
▪️ Protect secrets: never leak keys into prompts/traces/logs
▪️ Evaluate + observe: golden prompts, checks, latency/cost tracking, tracing/redaction
#LangChain4j #Java #LLM #RAG #AIEngineering #SpringBoot #SoftwareEngineering
Go further with Java certification:
Java👇
Spring👇
https://www.udemy.com/course/spring-professional-certification-6-full-tests-2v0-7222-a/?referralCode=04B6ED315B27753236AC
SpringBook👇
https://bit.ly/springtify
JavaBook👇
https://bit.ly/jroadmap