Easy RAG with LangChain4J and Docker - Implementing Retrieval-Augmented Generation
Explore the RAG (retrieval-augmented generation) pattern in this 31-minute conference talk from Devoxx. Learn the fundamental concepts behind RAG and gain hands-on experience setting up a practical RAG infrastructure using Docker. Discover how to configu…
Developing Cloud-Native Java AI Applications with DJL and LangChain4J
Explore the integration of Java with AI and large language models in this comprehensive conference talk. Learn how to consume, train/retrain, and infer various AI models, including LLMs like OpenAI, Llama, Gemma, and Mistral. Discover practical applicati…
From Naive to Advanced RAG: The Complete Guide - Lecture 1
Embark on a comprehensive deep-dive into Retrieval Augmented Generation (RAG) techniques, from basic implementations to advanced strategies. Learn how to overcome common challenges such as inaccurate or incomplete answers, outdated information, and ineff…
Crafting Intelligent Applications with Quarkus and LangChain4j
Explore the evolution and capabilities of Quarkus/LangChain4j integration in this conference talk. Discover how Quarkus provides an ideal runtime for developing intelligent Java applications, leveraging LangChain4j's potential. Learn about seamless CDI i…
Crafting Intelligent GitHub Bots
Develop AI-infused GitHub bots using Quarkus GitHub App Framework and LangChain4j to enhance workflows, automate tasks, and boost productivity in your development process.
Pushing LLMs over the Edge: Exploring the Limits of the Possible
Explore LLM limits through outrageous applications using LangChain4j and Quarkus. Witness complex tasks, potential havoc, and self-evaluating models in this thrilling journey of AI possibilities.
Practical LLM Inference in Modern Java
Implement efficient local LLM inference in Java, leveraging modern features for CPU-based performance without specialized hardware. Explore flexible frameworks adaptable to multiple architectures.
Oh No, Not Another Chatbot - Java and AI for Real Business Use Cases
Explore Java development with AI using LangChain4J and Spring AI. Learn to extract information from images for automatic form-filling using Azure OpenAI and Container Apps in a microservice architecture.
RAG: From Dumb Implementation to Serious Results - Optimizing Retrieval-Augmented Generation
Elevate RAG implementations using LangChain4j. Master advanced chunking, query refinement, metadata filtering, document reranking, data lifecycle management, and evaluation techniques for accurate, relevant results.
Supercharge Your Java Applications with Python
Enhance Java apps with Python using GraalPy. Embed Python code, install packages, and explore use cases like AI integration, data visualization, and multilingual scripting in Java projects.
Supercharge Your Java Applications with Python
Enhance Java apps with Python using GraalPy. Explore embedding Python in Java, integrating AI libraries, and leveraging multi-language capabilities for data science and machine learning.
Quarkus Meets AI - Build Your Own LLM-Powered Application
Explore building AI applications with LLMs using Quarkus and Langchain4j. Learn data ingestion strategies and integration with Apache Camel for comprehensive resource utilization.
Building LLM-Powered Java Applications with LangChain4j
Explore LangChain4j to create AI-powered Java applications using LLMs. Learn to build chatbots, process unstructured data, and automate tasks with various AI services and tools. Gain hands-on experience with key integrations and fundamental concepts.
Quarkus Meets AI - Build Your Own LLM-Powered Application
Explore building AI applications with LLMs using Quarkus and Langchain4j. Learn data ingestion strategies and integration with Apache Camel for comprehensive resource utilization in Java-based AI development.
Building a Custom AI Chatbot with Spring Boot, React, and LangChain4j
Learn to create an intelligent chatbot using Spring Boot, React, and LangChain4j. Explore practical AI integration, LLM interaction, and custom content implementation for business-specific applications.
Gemini: Google's Large Language Model - API Integration and Applications
Explore Gemini, Google's multimodal LLM, and learn to integrate it into applications using Java and LangChain4j. Discover techniques for data extraction, text classification, and knowledge extension with RAG.
Machine Learning and Symbolic Reasoning - Integrating AI Technologies
Explore the synergy of Machine Learning and Symbolic AI, combining data-driven insights with human-readable rules for transparent, explainable, and powerful AI applications.
Building AI-Ready Platforms - Symphony for Developers and Platform Engineers
Explore adapting platforms for AI applications, focusing on LLM integration, golden paths, and production-grade capabilities. Learn to build an AI-ready platform and implement a composer AI assistant.
Bringing GenAI to the Modern Enterprise - A Production Use-Case in Serverless Java
Develop cutting-edge GenAI applications for enterprises using Java, AI orchestration frameworks, and multiple LLMs. Learn hands-on with a real-world production use-case in a serverless environment.
Java Meets AI: Build LLM-Powered Apps with LangChain4j
Explore LangChain4j framework to build AI-powered Java apps. Learn to integrate LLMs, generate images, and create advanced RAG systems. Dive into Quarkus integration for efficient development and deployment.
Java Meets AI - How to Build LLM-Powered Applications with LangChain4j
Learn to create AI-powered applications using Java, Spring Boot, and LangChain4j. Build chatbots, process unstructured data, and automate tasks with LLMs. Explore key components and best practices for developing efficient, personalized AI solutions.