How Deutsche Telekom Scaled an Enterprise Multi-Agent Platform with Qdrant, Powering 2M+ Conversations

Discover how Deutsche Telekom's AI Competence Center (AICC) tackled the challenge of efficiently deploying AI-powered assistants across their enterprise ecosystem in this informative Vector Space talk. Join Thierry from Qdrant and Arun from Deutsche Telekom as they explore the journey of building LMOS (Language Models Operating System) - a multi-agent Platform as a Service designed for high scalability and modular AI agent deployment. Learn about the key requirements for scaling enterprise AI agents across Deutsche Telekom's operations in 10 European countries, critical AI stack considerations, and how the implementation of Qdrant helped process over 2 million conversations across three countries. The presentation reveals how this solution dramatically decreased new agent development time from 15 days to just 2 days. Explore related open-source projects including Eclipse LMOS, Wurzel, and an exciting new open-source version of OpenAI's Responses API that demonstrates building open platforms compatible with various LLMs.