Crafting Your Own RAG System - Leveraging 30+ LLMs for Performance

Learn to build a comprehensive RAG (Retrieval-Augmented Generation) system using Java that integrates with over 30 different Large Language Models in this 49-minute conference talk from Devoxx Poland 2024. Discover step-by-step implementation techniques for document ingestion, optimal text splitter strategies, similarity-based document retrieval, question answering capabilities, and chatbot creation. Explore methods for testing and comparing various AI models from both open-source and proprietary sources, whether deployed locally or accessed through cloud services. Master the selection criteria for choosing the most performant and cost-effective LLMs for your specific use cases. Gain practical insights into architecting a well-balanced RAG system that maximizes both performance and efficiency while leveraging the diverse capabilities of multiple language models within a Java-based framework.