LLM Frameworks vs. the Raw SDK in Java
Building the same small tool-using agent on the raw Anthropic Java SDK, LangChain4j, and Spring AI, to see honestly where each framework earns its weight.
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Building the same small tool-using agent on the raw Anthropic Java SDK, LangChain4j, and Spring AI, to see honestly where each framework earns its weight.

LangChain4J-CDI is the pivotal component that enables developers to integrate their AI services into...
O ecossistema Java está formalizando IA em produção. Este artigo apresenta os blocos concretos de...
MCP Client with LangChain4j: Connecting an Agent to Multiple Services In the previous...
RAG Without the Chatbot: pgvector + Ollama for Operational Data Most RAG tutorials start...
Similarity Search for Failure Diagnosis In the previous post, I showed how every saga...
Building an MCP Server in Spring Boot (Step by Step) In the previous post, I explained...
We built Shopao, an AI agent that automatically answers buyer questions on MercadoLibre listings....
Connecting AI Agents to Microservices with MCP (No Custom SDKs) In the previous post, I...
Distributed sagas are hard enough without AI. You're already dealing with compensating transactions,...

Last year, I started to dig a bit around LangChain4J. It's a fast-growing project, and I wanted to...
(Originally Published on My Substack) Hey Java devs! 👋 Have you been hearing the buzz around...