How Deutsche Telekom Built a Multi-Agent Enterprise Platform Leveraging Qdrant - Qdrant
Mar 7, 2025Manuel Meyer

Summary
Deutsche Telekom built a multi-agent enterprise platform (LMOS) as a PaaS for AI agents, leveraging Qdrant for vector search and retrieval. They chose Qdrant for its simplicity, Rust efficiency, memory management, and operational fit for multitenancy, contrasting it with previous solutions that had higher operational overhead and downtime during scaling. The platform reduced agent development time from 15 days to 2 and now processes over 2 million conversations.
More from the Data Ingestion and Integration trail
- How Bayer Built an Enterprise-Scale Search Engine with Qdrant - Qdrant
- How Sapu Indexed 28 Million PubMed Abstracts to Accelerate Cancer Research with Qdrant - Qdrant
- How Data Graphs Built a True Hybrid Graph RAG Platform - Qdrant
- How GlassDollar improved high-recall sourcing by migrating from Elasticsearch to Qdrant - Qdrant
- Convolve 4.0 - IIT Hackathon Winners - Qdrant