Vaadin Blog
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 ...
Vaadin's multilingual AI Form Filler helps developers build AI into business applications
In today's fast-paced business landscape, recognizing the importance of time and productivity is key. Business application users often invest many hours each day interacting with their core applications. One of the most common and time-consuming tasks in business applications involves filling out ...
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 assume you are working with the Hilla Spring Boot application we've built in the series, but the ...
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. ...
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 ...
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 ...
Calling ChatGPT and OpenAI APIs in Spring Boot with Java
This article will guide you on integrating OpenAI APIs, such as ChatGPT, in your Spring Boot application. We will cover moderation, embedding, and chat completion requests. It is a part of our Building an AI chatbot in Java series. Prerequisites This tutorial assumes you already have a Spring Boot ...
Building and Deploying an AI Chatbot with Java: A Comprehensive Guide
A while back, I built the Vaadin Docs Assistant, a ChatGPT-based AI assistant that can answer technical questions about developing with Vaadin Flow or Hilla based on the latest available documentation. If you're curious about the concepts behind the assistant, I recommend my earlier blog post. In ...