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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SummarizingTokenWindowChatMemory: Enhancing LLM’s Conversations with Efficient Summarization
Table of Contents SummarizingTokenWindowChatMemoryThe Summarizer InterfaceSummarization LogicLLM SummarizationWhy This MattersConclusion LLM chat models have become an integral part of many applications today. We are all experimenting and exploring the best ways to utilize them effectively. For Java developers, LangChain4j has …
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Building local LLM AI-Powered Applications with Quarkus, Ollama and Testcontainers
Table of Contents Project Overview1. Integrating Quarkus with OllamaWhy Ollama?Quarkus and Ollama Integration2. Using Testcontainers for Integration TestingWhy Testcontainers?Example: Setting up a Testcontainer for OllamaKey Points:3. Leveraging Quarkus Dev Services for OllamaWhat Are Quarkus Dev Services?Configuring Dev ServicesDevelopment WorkflowConclusionKey Takeaways: …
