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Knowledge graph

As explained in The Art of AI Product Development

An organized graph of entities and explicitly represented relationships that can be queried for facts or context.

A knowledge graph organizes entities as nodes and their relationships as edges, making connected facts available for retrieval rather than treating information as isolated text. section 7.3.3

In GraphRAG, graph-based retrieval complements semantic search by traversing connected information. This improves context for complex, multistep questions and can reduce hallucinations through structured grounding. section 7.3.3

A practical GraphRAG workflow includes:

  • Convert structured and unstructured data into nodes and relationship edges. section 7.3.3
  • Traverse relevant subgraphs to retrieve connected context instead of isolated chunks. section 7.3.3
  • Combine graph reasoning with vector embeddings and semantic search. section 7.3.3
  • Tailor the schema to the domain, such as regulations, companies, and market events in finance. section 7.3.3

A finance retrieval question

A graph can connect a regulation to affected companies and related market events, giving a retrieval system a connected context for a complex query. section 7.3.3

How The Art of AI Product Development covers it

How deep it goes
Explains graph construction, subgraph traversal, hybrid retrieval, and schema tailoring, but defers deeper implementation details.
Examples
Uses companies, products, acquisitions, competition, regulations, and market events as graph entities and relationships.
What it assumes
Assumes a RAG pipeline and teaches how to add structured graph data alongside semantic retrieval.
What you can do after
Build it from scratch by modeling domain entities, defining relationships, traversing subgraphs, and integrating graph retrieval into RAG.
How it connects
Connects knowledge graphs with GraphRAG, RAG pipelines, semantic search, vector embeddings, graph reasoning, and hallucination reduction.
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This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.