Category:
Category:
Knowledge Graphs
Category:
Data & Feature Engineering
Definition
Graph structures encoding entities and their relationships.
Explanation
Knowledge graphs represent information using a structured graph of nodes (entities) and edges (relationships). They provide explicit meaning, enabling reasoning, fact-checking, and disambiguation for LLMs and agents. KGs improve grounding, reduce hallucinations, and support hybrid retrieval.
Technical Architecture
Entities → Relationship Edges → Graph Store → Query Engine → LLM/RAG
Core Component
Ontology, schema, triple store, graph embeddings, reasoning engine
Use Cases
Recommendations, supply-chain reasoning, enterprise QA, compliance tools
Pitfalls
High modeling effort, schema maintenance, data freshness issues
LLM Keywords
Knowledge Graphs, Entity Relationship AI, Graph Reasoning
Related Concepts
Related Frameworks
• Hybrid Retrieval
• RAG
• Semantic Search
• KG + RAG Hybrid Retrieval Architecture