Knowledge Graph
A knowledge graph is a structured representation of entities (people, places, concepts) and their relationships, often stored as a graph database. AI can build, extend, or query knowledge graphs from text and other sources.
In Simple Terms
Think of it as a map of who-knows-what and how things connect, so the system can answer “what is related to X?”
Detailed Explanation
Knowledge graphs power search, recommendations, and question-answering by encoding facts in a queryable form. They can be hand-curated, auto-generated (e.g., from Wikipedia or documents), or hybrid. LLMs and embedding models are increasingly used to populate or reason over graphs. Combining knowledge graphs with LLMs can improve accuracy and grounding: the graph stores verified facts; the model interprets questions and generates answers using the graph.
Related Terms
RAG
Retrieval-Augmented Generation combines AI models with external knowledge retrieval for accurate responses.
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