AI Chatbot Terms > 1 min read

Knowledge Graphs in AI: Structured Data for Smarter Chatbots

Learn how knowledge graphs organize information as connected entities and relationships, enabling AI to reason and answer complex questions accurately.

More about Knowledge Graph

Knowledge Graph is a structured representation of information where entities (people, places, concepts) are connected by defined relationships. Unlike unstructured text, knowledge graphs enable precise querying and logical reasoning about relationships between concepts.

In AI applications, knowledge graphs complement vector databases and RAG systems by providing structured context. They're particularly valuable for domains requiring factual accuracy and relationship-aware responses.

Frequently Asked Questions

They provide structured, relationship-aware context that helps chatbots answer complex questions involving connections between entities, like "Who founded the company that makes this product?"

They serve different purposes and work best together. Vector databases excel at semantic search, while knowledge graphs handle structured relationships and reasoning.

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