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Building Java API for JavaScript libraries - The lightweight approach
Many Vaadin add-ons are wrappers around existing JavaScript libraries or components. The tooling and documentation in Vaadin are primarily targeted for the optimal case, where the wrapped component is a Web Component. The huge rewrite of the framework in version 10 was done largely to optimize this ...
Efficiently serving video files in Java web apps with HTTP range requests
Streaming video and audio content has become essential to modern web applications, providing users with an engaging and interactive experience. HTTP range requests are crucial to delivering these media files efficiently. Range requests allow for seeking within video and audio files, enhancing the ...
Using microservices from Hilla
Hilla is a full-stack framework for building web applications with Spring Boot and React. It embraces the backends for frontends (BFF) pattern, where backend services are tailored for specific frontends. Hilla makes it easy to connect Java backends to TypeScript React frontends using type-safe RPC ...
Integrating Pinecone Vector Database into a Spring Boot Application
Dive into the process of integrating the Pinecone Vector database with a Spring Boot application using Java in this second installment of the Building an AI chatbot in Java series. Prerequisites The article assumes you have a Spring Boot application. The example project is a Spring Boot application ...
Deploying a Spring Boot app as a native GraalVM image with Docker
July 14, 2023 Marcus Hellberg Deploying a Spring Boot app as a native GraalVM image with Docker In this final part of the Building an AI chatbot in Java series, we will deploy the Spring Boot AI chatbot application we've built as a GraalVM native image. Requirements The instructions in the article ...
Enhancing ChatGPT with Prompt Engineering and Token Counting in Java
This article is part three of the Building an AI chatbot in Java series, where we're building a custom AI chatbot application using Hilla, Spring Boot, React, OpenAI (ChatGPT), and Pinecone. The chatbot is designed to answer Vaadin Flow and Hilla development questions using up-to-date documentation ...
Building a ChatGPT-based AI bot using Spring Boot, React, and Hilla
In this article, we'll build a custom AI chatbot application using Hilla, Spring Boot, React, OpenAI (ChatGPT), and Pinecone. The chatbot is designed to answer Vaadin Flow and Hilla development questions using up-to-date documentation as reference material. My earlier blog post details the concept. ...
Built with Vaadin: Navigating changing electricity prices in Finland with Liukuri
Liukuri is a web app visualizing the current electricity prices and sources inspired by exceptionally high electricity prices in 2022. In addition, it also features an electricity cost calculator with which you can determine how much your electricity consumption in Finland has cost based on actual ...
5 tips for optimizing memory usage in your Vaadin application
In my recent blog post, where I showed you how to estimate or measure the memory consumption of your Java application, I promised to provide some simple tips for optimizing your application’s memory usage. Some of the following tips are Vaadin-specific, while others are applicable to JVM services ...