In this part of this series, you will try to create a Spring Boot application from scratch using an AI coding assistant. The goal is not to just merely create a working application, but to create production-grade code. Enjoy!
Continue reading “Unlocking AI Coding Assistants: Generate Spring Boot Application”Unlocking AI Coding Assistants: Real-World Use Cases Part 3
Do you think that AI coding assistants are not working for you? You constantly get wrong responses and now you have given up using them? In this blog, some real life use cases are shown where AI coding assistants are helpful and will help you during your daily work. Enjoy!
Continue reading “Unlocking AI Coding Assistants: Real-World Use Cases Part 3”Unlocking AI Coding Assistants: Real-World Use Cases Part 2
Do you think that AI coding assistants are not working for you? You constantly get wrong responses and now you have given up using them? In this blog, some real life use cases are shown where AI coding assistants are helpful and will help you during your daily work. Enjoy!
Continue reading “Unlocking AI Coding Assistants: Real-World Use Cases Part 2”Unlocking AI Coding Assistants: Real-World Use Cases Part 1
Do you think that AI coding assistants are not working for you? You constantly get wrong responses and now you have given up using them? In this blog, some real life use cases are shown where AI coding assistants are helpful and will help you during your daily work. Enjoy!
Continue reading “Unlocking AI Coding Assistants: Real-World Use Cases Part 1”Explore Open WebUI: Your Offline AI Interface
Are you looking for a user-friendly, self-hosted AI interface designed to operate entirely offline? Look no further, Open WebUI might be what you are looking for. In this blog, you will dive into some nice features of Open WebUI. Enjoy!
Continue reading “Explore Open WebUI: Your Offline AI Interface”Implement RAG With PGVector, LangChain4j and Ollama
In this blog, you will learn how to implement Retrieval Augmented Generation (RAG) using PGVector, LangChain4j and Ollama. This implementation allows you to ask questions about your documents using natural language. Enjoy!
Continue reading “Implement RAG With PGVector, LangChain4j and Ollama”DevoxxGenie: Your AI Assistant for IDEA
DevoxxGenie is a fully Java-based LLM Code Assistant plugin for IntelliJ IDEA, designed to integrate with local LLM providers and cloud based LLM’s. In this blog, you will learn how to get started with the plugin and get the most out of it. Enjoy!
Continue reading “DevoxxGenie: Your AI Assistant for IDEA”Implement RAG Using Weaviate, LangChain4j and LocalAI
In this blog, you will learn how to implement Retrieval Augmented Generation (RAG) using Weaviate, LangChain4j and LocalAI. This implementation allows you to ask questions about your documents using natural language. Enjoy!
Continue reading “Implement RAG Using Weaviate, LangChain4j and LocalAI”Semantic Search With Weaviate Vector Database
In this blog, you will take a look at Weaviate, a vector database. You will learn some basic concepts and how to implement vector similarity search for your documents. Enjoy!
Continue reading “Semantic Search With Weaviate Vector Database”How to Embed Documents for Semantic Search
In this post, you will take a closer look at embedding documents to be used for a semantic search. By means of examples, you will learn how embedding influences the search result and how you can improve the results. Enjoy!
Continue reading “How to Embed Documents for Semantic Search”