Welcome to my learning notes on developing AI applications with Spring AI. If the realm of AI has ever piqued your curiosity but you’ve felt daunted about where to begin, these notes are for you. So, let’s embark on this exploration together into the fascinating world of AI development. Feel free to share your thoughts and engage in discussions as we learn and grow together.
Diving into the world of Java development, we often encounter the need to interact with applications directly through the command line. Enter Spring Shell, a project within the larger Spring Framework ecosystem designed to simplify the creation of interactive command-line applications. This beginner-friendly guide aims to introduce you to Spring Shell, helping you unlock its potential to build powerful CLI tools with ease. Whether you’re new to programming or looking to expand your Java toolkit, this journey will set the foundation for your command-line adventures.
In the evolving landscape of Java applications, performance and startup time are paramount, especially in the context of cloud-native environments and microservices architectures. This is where Spring Native and Ahead-of-Time (AOT) compilation come into play, revolutionizing how we build and deploy Spring applications. Let’s dive into these concepts and explore a practical implementation that enhances application performance through efficient runtime hints.
In the dynamic world of software development, efficiency and consistency are key. Developers are continually seeking tools and practices that streamline their workflow, reducing overhead and allowing a greater focus on the creative aspects of coding. Enter the realm of Visual Studio Code’s Dev Containers – a feature revolutionizing the way developers interact with their coding environments.
Dev Containers in VS Code offer a consistent, isolated development environment, ensuring that the “it works on my machine” syndrome is a thing of the past. This innovation brings a fresh approach to the development process, allowing smoother code development, testing, and debugging.
This article is intended for junior developers and focuses on how to integrate Google’s Gemini model using Java and the langchain4j framework. We’ll cover configuration settings, model strategies, and implementation, with a focus on special considerations for using Gemini and a thorough explanation of the provided Java code.
This article dives into the integration of Langchain4j, PostgreSQL, and Liquibase within a Spring Boot environment, tailored specifically for Java developers. Langchain4j, a framework designed for efficient vector data management, when combined with PostgreSQL’s robust database capabilities and Liquibase’s schema version control, creates a powerful ecosystem. This guide will walk you through setting up these integrations, detailing the configurations and code necessary to manage complex vector data. By understanding and implementing these integrations, developers can significantly enhance the performance and scalability of their data-driven applications, paving the way for advanced analytics and machine learning operations.
This document is a beginner-friendly guide that demonstrates how to use the Spring Cloud Stream framework to develop applications that can communicate across different messaging platforms in a decoupled manner. Whether you’re a seasoned developer or new to the field, this guide will walk you through the essential steps and concepts.
This is the first article to start studying NATS, so let’s try simple sending and receiving messages first.
This is the record of the process of changing to the M1 chip.
