Table of Contents The Data Architecture Identity CrisisThe Adaptive Approach: Prioritizing Developer SpeedAI-Native Platforms Are the Future We’re in the middle of a fundamental change in how enterprise software works. In the next decade, your database will become your AI. …
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How I Improved Zero-Shot Classification in Deep Java Library (DJL) OSS
Table of Contents TL;DR:What’s Zero-Shot Classification (and Why It Matters)Integrating a Zero-Shot Classification Model with the Deep Java LibraryDependenciesThe Criteria ClassLoading and using the modelUsing different modelsUsing a model that is not available in the Model ZooLoading a local model …
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Intro to RAG: Foundations of Retrieval Augmented Generation, part 2
Table of Contents GenAI systems as layersVector RAGGraph RAGAI AgentsModel Context Protocol (MCP)What should you choose?Wrapping up!Resources In the last post, we discussed the basics of Retrieval Augmented Generation (RAG) and how it enhances the capabilities of Large Language Models …
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Intro to RAG: Foundations of Retrieval Augmented Generation, part 1
Table of Contents Why RAG?Large Language Models (LLMs)Vector embeddingsVectors applied to wordsVectors applied to dataSimilarity searchWrapping up!Resources Retrieval Augmented Generation (RAG) may sound complex, but it accurately represents the process of the system. RAG is a method that enhances the …
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How Deep Netts and Java AI Transformed Particle Physics at US DoE, Jefferson Lab
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 …
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Building FormPilot: My Journey Creating an AI-Powered Form Filler with RAG, LangChain4j, and Ollama
Table of Contents The InspirationThe ArchitectureGetting Started: Setting Up Your EnvironmentPart 1: Installing and Running Ollama LocallyPart 2: Creating the Spring Boot Project via Spring InitializrImplementing RAG with LangChain4jThe Magic of LangChain4j’s @AiServiceIntegrating with OllamaBuilding the Chrome ExtensionSetting up the …
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Foojay Webinar Live Stream: Java’s Place in the AI Revolution
Table of Contents GuestsFrank GrecoZoran SevaracModeratorPratik PatelLinksSlides 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 in modern software development. For …
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Register for Foojay Webinar: “Java’s Place in the AI Revolution”
Table of Contents PracticalGuestsModerator 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 Java developers, …
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Run AI-enabled Jakarta EE and MicroProfile applications with LangChain4j and Open Liberty
Experience AI technology in Jakarta EE and MicroProfile applications that run on Open Liberty by using LangChain4j APIs.
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Foojay Podcast #56: Vectors in Java Code, Databases, and LLMs
In this Foojay podcast, we enter the world of mathematics by discussing Vectors and how they are crucial for AI and machine learning.
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Foojay Podcast #53: JCON Report, Part 5 – CQRS, JOOQ, GraphQL, API, Vaadin, OpenRewrite, ErrorProne, Gateways, Proxies,…
In this episode you’ll hear Simon Martinelli, Nicolas Fränkel, Marcus Hellberg, Rick Ossendrijver, and Abdel Sghiouar.
