Agentic Recommender System Concept for Sustainable Knowledge Management
AI-Enabled Knowledge Management in Companies
DOI:
https://doi.org/10.52825/th-wildau-ensp.v2i.2944Keywords:
Knowledge Management, Graph Database, Semantic Search, Recommendation SystemsAbstract
Companies face considerable challenges in retaining, utilising and passing on key knowledge. Demographic change, increasing employee turnover and growing organisational complexity are making traditional documentation and exchange processes, which rely heavily on employee participation, more difficult. With the help of generative AI and agentic recommender systems, these obstacles can be overcome by capturing important knowledge ‘on the fly’ and in a largely automated manner. A central element here is the combination of semantic embeddings, a graph database and specialised AI agents that analyse documents and chat histories, provide employees with targeted support in the form of suggestions and thus continuously update knowledge. This creates an effective knowledge culture with low barriers to use thanks to minimal additional effort for human users.
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