Author: Marcus Hellberg
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 ...
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. ...
Setting up Tailwind CSS in a Hilla project
Hilla uses the Vaadin Lumo design system that comes with a set of simple of utility classes for common styling tasks. If you need more advanced functionality, like support for responsive layouts, you can easily switch to using the more comprehensive Tailwind CSS library. Here are the steps to set ...