Data
Knowledge Graph
A structured representation of entities and the relationships between them, used to organize and reason over information.
A knowledge graph organizes information as entities and relationships. Instead of storing facts only as plain text, it models them in a structured form such as "Company A acquired Company B" or "Person X works at Company Y."
This structure makes it easier to answer relational queries, connect information across sources, and support reasoning over explicit links between concepts.
Why it matters: knowledge graphs provide symbolic structure that complements the fuzzy similarity of embeddings and semantic search.
Common Uses of Knowledge Graphs
- Entity search — find people, products, companies, and their links
- Recommendation systems — use relationship data for better suggestions
- Enterprise knowledge management — connect fragmented business information
- AI grounding — provide explicit factual relationships to models
Knowledge graphs and vector databases are often combined. Graphs provide precise structure, while vectors provide semantic flexibility. Together they can support strong retrieval and reasoning systems.