In a world full of AI chaos, we’ve built a structured zoo and put Wuffi in charge.
Our talk explores how to tame LLM-powered search using multilingual embeddings, Retrieval-Augmented Generation (RAG), pipelines, and tool-using agents within a production-grade architecture. We’ll cover the full journey: from messy user input to real-time, evaluated answers powered by fine-tuned Gemini models. We've built a robust, engaging chatbot solution that was deployed to millions of users. We'll share our journey from data enrichment and intelligent search to deploying a dynamic and finetuned agent framework with LangGraph and LangChain, including crucial aspects like security, reliability, and consistent evaluation methods.

Learn actionable best practices for developing robust, production-ready AI chatbot solutions using multidimensional /-lingual /-modal RAG, and specialized agents.
Attendees gain practical insights, from foundational data processing and advanced RAG techniques over finetuning LLMs and setting up LangGraph agents to secure and reliable chatbot deployment strategies that scale to millions of users, immediately applicable to their own AI projects.