Spring AI – [ Building Protocol-Aware AI Agents with MCP ]
Working with LLMs often means you want more than just chat – you want agents that can reach...
Spring AI – [ Tool Calling ]
Large Language Models (LLMs) are great at reasoning and generating text, but sometimes your application needs real data....
Spring AI – [ Retrieval-Augmented Generation ]
Large Language Models (LLMs) are powerful, but they don’t know everything. Their knowledge is limited to the data...
Spring AI – [ Prompt Templates and Structured Outputs ]
One of the biggest challenges in working with large language models (LLMs) is ensuring that the model responds...
LTS New Features – [ Java 25 ]
Java 25 has just been released, and it brings a set of powerful new features that continue to...
Spring AI – [ Building Conversational Apps with Chat Memory ]
When working with large language models (LLMs), one of the key challenges is maintaining context across multiple interactions....
AI – [ Master AI Concepts Before Diving Into Spring AI and LangChain4j ]
As AI continues to evolve, developers are increasingly tasked with integrating language models into their applications. Frameworks like...
Spring AI – [ Bringing LLM to Spring Boot Project ]
AI is evolving at a breathtaking pace, with frameworks like LangChain quickly becoming the go-to choice for building...
LangChain4j – [ Extending LLMs Beyond Text ]
Large Language Models (LLMs) are impressive. They can answer questions, summarize documents, and even generate code. But without...