Knowledge Graphs and Relational AI
Knowledge graphs represent information as a network of interconnected entities and their relationships, offering a structured way to store and query knowledge. Relational AI uses these graphs to enable logical reasoning, inference, and more sophisticated understanding beyond pattern recognition in raw data. This allows AI to answer complex questions and make decisions based on explicit knowledge rather than solely statistical correlations.
Imagine a vast, interconnected encyclopedia, where each fact is linked to others, allowing you to trace relationships and derive new insights.
They provide AI with common sense and factual reasoning capabilities, enabling more intelligent and less 'black box' decision-making.
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