What are Knowledge Graphs?
Structured representations of information, linking entities and their relationships to facilitate efficient knowledge retrieval.
More about Knowledge Graphs:
Knowledge Graphs are structured data representations that model entities (such as people, places, or concepts) and the relationships between them. They are used to organize and retrieve information efficiently, making them essential for tasks like knowledge retrieval and question answering.
Knowledge graphs are foundational in many AI applications, such as search engines and recommendation systems, where understanding the connections between data points enhances relevance and accuracy.
Frequently Asked Questions
How are knowledge graphs used in AI?
They enable efficient semantic search and support applications like knowledge-grounded generation.
What tools are commonly used to build knowledge graphs?
Tools like Neo4j and AWS Neptune are popular for constructing and managing knowledge graphs.
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