Vasilije Markovich

Vasilije Markovich, founder of Cognee and former data engineer turned cognitive-science-informed entrepreneur, builds agentic memory and knowledge-layer systems. He discusses permanent vs session memory, graph+vector architectures, storage and latency trade-offs, metadata and decay strategies, trace-based scoring, multi-tenant isolation, and practical vertical uses like pharma, logistics, and security.

Vasilije Markovich, a data engineer and AI specialist from Montenegro, discusses enhancing large language models with memory. He highlights the challenges of context window limitations and forgetting in LLMs, introducing hierarchical memory to improve performance. Vasilije dives into his creation, Cognee, which manages semantic memory, emphasizing its potential applications and the blend of cognitive science with data engineering. He shares insights from building an AI startup, the importance of user feedback, and future developments in open-source AI technology.

In this fascinating discussion, Vasilije Markovic, a data engineering and cognitive science expert from Cognee, delves into the world of AI memory. He tackles challenges like 'context rot' and emphasizes the need for effective data organization to enhance AI’s decision-making capabilities. Markovic shares insights on AI's practical applications across industries like construction and education, while humorously illustrating the complexities of context and relational data. The conversation also touches on the intricate relationship between creativity and technology in today's landscape.