Welcome! kg-gen helps you extract knowledge graphs from any plain text using AI. It can process both small and large text inputs, and it can also handle messages in a conversation format. Why generate ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Abstract: Reconstructing the structure of causal graphical models from observational data is crucial for identifying causal mechanisms in scientific research. However, real-world noise and hidden ...

In modern quantitative finance and portfolio-based investment, modeling latent interactions among stocks is paramount for prediction and decision-making on profit, risk management, hedging, etc. While ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...