Building Smarter Knowledge Management Systems with AI Technology
Explore the creation of advanced knowledge management systems using AI technology in this 52-minute conference talk from Devoxx. Learn how to leverage Java, Spring Boot, and Spring AI APIs to develop more user-friendly and conversational systems that enc…
Conversational History in Java-Based Generative AI Applications
Enhance Java-based AI chatbots with conversational memory. Implement context-aware interactions, efficient storage, and scalable architecture for more coherent and meaningful AI responses.
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.
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.
Spring AI: Seamlessly Integrating AI into Enterprise Java Applications
Integrate AI into Java enterprise apps using Spring AI. Learn key concepts, develop AI applications rapidly, and explore practical use cases like semantic search and RAG patterns.
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.
Using Multiple LLMs in Java with Spring AI
Integrate multiple LLMs in Java using Spring AI. Learn to configure and utilize OpenAI's GPT-4 and Anthropic's Claude 3.5 Sonnet in a single Spring Boot project.
Generative AI for Java Developers - From Zero to Hero
Integrate OpenAI's GPT models into Java applications, from command-line scripts to Spring Boot implementations. Learn to build AI-powered systems like book recommendation engines.
Creating an AI-Powered Financial Advisor with Spring AI and RAG
Master building an AI-powered financial document analyzer using Spring AI and RAG (Retrieval Augmented Generation). Implement vector databases, document processing, and intelligent data retrieval in Java applications.
Text-to-SQL: Chat with a Database Using Generative AI
Explore cutting-edge Text-to-SQL conversion using Spring Boot and Spring AI APIs. Learn to bridge natural language processing with database interaction through advanced Generative AI techniques.
Getting Started with Retrieval Augmented Generation (RAG) in Java and Spring AI
Learn to implement Retrieval Augmented Generation (RAG) using Java and Spring AI. Explore RAG's applications, setup process, and practical implementation with a simple example.
Getting Started with Ollama, Llama 3.1 and Spring AI
Learn to run open-source LLMs locally with Ollama, use Meta's latest Llama 3.1 model, and integrate it into Spring applications using Spring AI for powerful language processing capabilities.
Getting Started with GPT-4 in Spring AI - Chat and Vision Capabilities
Learn to integrate GPT-4's chat and vision capabilities into Spring applications, enhancing AI functionality for more advanced and interactive features.
Spring AI - Bring Your Own Data by Stuffing the Prompt
Aprenda a técnica de "stuffing the prompt" para adicionar contexto às solicitações de IA, usando Spring AI com modelos de linguagem como GPT-4, melhorando a precisão e relevância das respostas.
Understanding Tokens and Cost Management in LLM Applications with Spring Boot
Master token tracking and cost optimization for LLMs by building a Spring Boot application with Spring AI integration, automated logging, and comprehensive usage monitoring features.
Building a Streaming Chatbot with Spring Boot and Spring AI
Create a responsive, streaming chatbot using Spring Boot and Spring AI. Implement traditional and streaming responses, integrate with Claude 3.5 Sonnet, and build a simple UI with HTMX and Tailwind CSS.
Working with Prompts in Spring AI - Effectively Communicating with LLMs
Learn effective prompt engineering techniques for Spring AI, enhancing communication with language models to generate precise outputs and improve AI-driven applications.
Using Spring AI's Output Parsers to Structure LLM Responses
Learn to structure LLM responses with Spring AI's Output Parsers, enhancing control and precision in AI-powered applications. Gain practical insights for effective implementation.
Spring AI Functions - Registering Custom Java Functions with Chat Client
Learn to integrate custom Java functions with Spring AI's Chat Client for real-time data access in LLMs. Explore function calling and implementation for enhanced AI capabilities.
What's New in Spring AI 1.0.0 M1 - Features and Improvements
Explore Spring AI 1.0.0 M1's latest features, including the Chat Client's new fluent API for more concise and readable code. Learn about key updates and improvements in this release.
Spring AI: Integrating AI into Enterprise Applications with Java
Explore Spring AI's seamless integration of AI into enterprise Java applications. Learn key concepts, create effective prompts, and implement features like embeddings, RAG, and semantic search.