Dive into the Model Context Protocol (MCP)! This blog breaks down why MCP is needed, how it works, its architecture, and its potential benefits on the LLM ecosystem, explaining complex concepts in a simple, easy-to-understand way.
Compare Langchain4j and Spring AI for building Java/RAG applications. Discover their key features and capabilities, see RAG implementation examples, and explore real-world projects. Find out which framework best fits your Java AI development needs.
Embark with us as we delve into the Retrieval-Augmented Generation (RAG) world, uncovering the magic under the hood. We aim to explore the core concepts of RAG and dissect the process step-by-step.
Dive into the fascinating world of Generative AI and Large Language Models! This blog explores the core concepts, benefits, and limitations of LLMs, including insights into few-shot learning, fine-tuning, and tackling hallucinations.
Spring Boot Actuator is a powerful tool that allows you to monitor and manage your Spring Boot application. In this blog post, we explore the Actuator library and show you how to expose metrics and information through HTTP endpoints. We also cover configuration options and provide examples of how to use Actuator to create a monitoring admin dashboard.
When it comes to native cloud applications, we notice that we spend much time on the workflow for building applications starting from the build of docker images, pushing them to the registers, ...
Lately I wrote a postabout the JIB plug-in And how it is an enjoyable tool that helps automate the packaging of Java apps. So as a developer, you only care about the artifact ...
Recently, my team decided to migrate our control version system from SVN to GIT for many reasons, the main one is to improve the way in which we manage our code versioning ...