---
Title: "What Is a Knowledge Graph? Definition and AI Uses"
Url: "https://computer.io/glossary/knowledge-graph"
Topic: "AI foundations"
Description: "A knowledge graph stores entities and their relationships so systems and AI can reason over connected data. How it compares with RAG and vector search."
---

# What is a knowledge graph?

A knowledge graph is a way of storing information as entities, such as customers, tickets, products and people, and the relationships between them, so software and AI can follow those connections to answer questions. It complements document search by capturing how facts relate, not just what text says.

## Example

Customer **Acme** → has ticket **#123** → linked to bug **B-77** → owned by engineer **Priya** → fixed in release **4.2**. An agent can answer "Is Acme's issue fixed?" by following the links.

## Knowledge graph vs vector search

|  | Knowledge graph | Vector search |
| --- | --- | --- |
| Stores | Entities and relationships | Embeddings of text |
| Good at | Multi-hop, exact relationships | Finding similar text |
| Example question | "Which enterprise customers are hit by bug B-77?" | "Find docs about SSO errors" |

## In enterprise AI

DevRev's Computer Memory is described as a patented, permission-aware knowledge graph that links structured records with unstructured content, kept current by AirSync.

## FAQ

### What is a knowledge graph used for?

Search, recommendations, data integration and giving AI agents connected context.

### Is a knowledge graph better than RAG?

They solve different problems and are often combined: graphs for relationships, RAG for text passages.

### Who uses knowledge graphs?

Search engines, e-commerce, finance, healthcare and enterprise AI platforms.

## Related terms

- [Retrieval-augmented generation (RAG)](https://computer.io/glossary/retrieval-augmented-generation)
- [Vector database](https://computer.io/glossary/vector-database)

## How Computer helps

- [How computer works](https://computer.io/how-computer-works)
- [Enterprise search and answers](https://devrev.ai/enterprise-search-and-answers)

## Compare

- [Devrev vs glean](https://devrev.ai/compare/devrev-vs-glean)

## Further reading

- [Knowledge graphs vs rag enterprise ai](https://devrev.ai/blog/knowledge-graphs-vs-rag-enterprise-ai)
- [Knowledge graph missing layer ai agents](https://devrev.ai/blog/knowledge-graph-missing-layer-ai-agents)
- [Knowledge graph vs vector database](https://devrev.ai/blog/knowledge-graph-vs-vector-database)