Cognee organizes your data into AI memory. It builds structured AI memory by transforming raw data into a modular, queryable knowledge graph powered by embeddings. Like any complex system, it depends on many hyperparameters that shape performance in subtle ways. This talk shows how systematic tuning can improve AI memory, what current evaluation methods reveal (and miss), and why future progress will depend as much on better evaluation and optimization as on new architectures.
talk-data.com
Speaker
Lazar Obradovic
2
talks
Lead Data Scientist at Cognee, focused on research and innovation. Years of research experience in academia and industry across DS/ML/AI. Background in mathematics, PhD in stochastic finance.
Bio from: AI Agent Meetup Berlin: Context Engineering
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Cognee organizes your data into AI memory. It builds structured AI memory by transforming raw data into a modular, queryable knowledge graph powered by embeddings. Like any complex system, it depends on many hyperparameters that shape performance in subtle ways. This talk shows how systematic tuning can improve AI memory, what current evaluation methods reveal (and miss), and why future progress will depend as much on better evaluation and optimization as on new architectures.