SmartKnowledge AI

In this project, an infrastructure was established to serve as the foundation for the development and customization of large language models for in-house knowledge management. The project not only addressed issues related to general deployment, operation, and monitoring in suitable cloud or on-premises environments, but also—in particular—developed a flexible AI pipeline that integrates the necessary components (e.g., foundational language models as local or hosted LLMs, vector databases for feeding local knowledge into the LLM, and agent structures for the automated execution of necessary functions).

From the very beginning, complete prototypes were selected, tested, and implemented for the required components. At the same time, the ability to easily adapt and replace individual modules was taken into account and supported from the start. "SmartKnowledgeAI" gives companies the ability to access a fully functional prototype and efficiently adapt it to their specific needs. This greatly accelerates the implementation of such a solution and significantly saves development time and resources.