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Table of Contents Why RAG?Large Language Models (LLMs)Vector embeddings Vectors applied to words Vectors applied to data Similarity search Wrapping up!Resources Retrieval Augmented Generation (RAG) may sound complex, but it accurately represents the process of the system. RAG is a …

At the intersection of nuclear physics and artificial intelligence, Jefferson Lab is leveraging Java-based AI to overcome one of the most computationally intense challenges in modern science: reconstructing particle trajectories from high-frequency electron scattering experiments. Each second, over 16,000 interactions …

Table of Contents The InspirationThe ArchitectureGetting Started: Setting Up Your Environment Part 1: Installing and Running Ollama Locally Part 2: Creating the Spring Boot Project via Spring Initializr Implementing RAG with LangChain4jThe Magic of LangChain4j’s @AiServiceIntegrating with OllamaBuilding the Chrome …

Table of Contents Guests Frank Greco Zoran Sevarac Moderator Pratik Patel LinksSlides This first online Foojay Webinar highlights Java’s place in the AI revolution, focusing on exploring AI/ML using pure Java tools. AI and Machine Learning (ML) are becoming essential …

Table of Contents Practical Guests Moderator This first online Foojay Webinar will highlight Java’s place in the AI Revolution, focusing on Exploring AI/ML Using Pure Java Tools. AI and Machine Learning (ML) are becoming essential in modern software development. For …

Experience AI technology in Jakarta EE and MicroProfile applications that run on Open Liberty by using LangChain4j APIs.

In this Foojay podcast, we enter the world of mathematics by discussing Vectors and how they are crucial for AI and machine learning. 

In this episode you’ll hear Simon Martinelli, Nicolas Fränkel, Marcus Hellberg, Rick Ossendrijver, and Abdel Sghiouar.

On Tuesday, May 14th, the Foojay Podcast went live at the JCON conference in Cologne, Germany, to talk with speakers and visitors about all things Java.

Discover how to build a smart home assistant using Langchain4j and Raspberry Pi, featuring capabilities such as question-answering with RAG, integrating external APIs, controlling smart devices, and utilizing camera and multimodal functionalities.

The way we search for information and develop software has changed a lot since then as the use of Artificial Intelligence suddenly became a lot easier. What can we expect in the near future?