The partnership between Pienso and Qdrant aims to transform interactive deep learning for enterprise-level customers by combining Pienso's low-code platform with Qdrant's scalable vector computation capabilities. This collaboration seeks to empower organizations to train large language models (LLMs) and perform tasks requiring data sovereignty and model autonomy. Qdrant enhances LLM performance by providing dynamic long-term storage, allowing for more accurate and contextually relevant outputs. The partnership emphasizes scalability, efficiency, and reliability, with Qdrant's distributed deployment mode supporting large data volumes without sacrificing performance. Pienso leverages Qdrant's storage efficiency to minimize hardware costs and enhance data management. Additionally, Qdrant's use of Rust, memmap storage, and write-ahead logging ensures high performance and robust data protection, offering enterprises a seamless and secure AI solution.