Infrastructure Aktualisiert 2026-04

Knowledge Graph

Definition

A Knowledge Graph organizes knowledge as a network of relationships between entities, enabling AI to reason over structured facts.

Siehe auch im Glossar

R
RAG (Retrieval-Augmented Generation)
RAG is a technique that connects an LLM to external data sources to generate more accurate and up-to-date answers.
E
Embedding
An embedding is a numerical representation (vector) of text or data, capturing its semantic meaning.
G
Grounding
Grounding connects LLM responses to factual data sources to reduce hallucinations and increase reliability.
L
LLM (Large Language Model)
An LLM is an AI model trained on billions of texts, capable of understanding and generating human language.

Tools, die knowledge graph verwenden

P
Perplexity
Die KI-Antwortmaschine, die ihre Quellen zitiert
4.5/5
C
Consensus
Die KI-Suchmaschine für wissenschaftliche Literatur
4.7/5
G
Gemini
Googles KI-Assistent mit 1-Million-Token-Kontext
4.5/5
N
NotebookLM
Googles KI, die Ihre Dokumente in einen Experten-Assistenten verwandelt
4.5/5

Häufig gestellte Fragen

Does Google use a Knowledge Graph?
Yes. The Google Knowledge Graph contains billions of structured facts. It powers the info panels in search results.
Knowledge Graph vs vector database?
Complementary. Vector database finds semantically similar content. Knowledge Graph stores factual relationships (Paris IS the capital OF France).