DefinitionArticle

A knowledge graph stores entities (nouns) and typed relationships between them, each with a description, which preserves the connections between concepts that plain text chunking discards.

Knowledge graphs capture the entities and relationships within a corpus, creating a connected structure that can reveal paths and patterns not explicit in any single document. ✦ AI generated

article author · ByteByteGo Newsletter · 2026-08-19 · original ↗

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A knowledge graph stores two kinds of things: Entities are the nouns a corpus talks about, such as people, services, teams, incidents, and decisions. Relationships are the typed connections between those entities. Both carry a plain-text description.

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✳ entity ✳ knowledge graph ✳ relationship

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Standard RAG works by chunking documents, embedding them into vectors, and retrieving chunks whose vectors are closest to the query vector, relying on the assumption that the text answering a question will be similar to the question itself.article author · ByteByteGo Newsletter · conf 70%

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provides context → GraphRAG indexing builds a community hierarchy over the entity graph using Leiden clustering and pre-generates a summary report for every community at every level, making the entire collection's content answerable at query time.article author · ByteByteGo Newsletter provides context → GraphRAG provides two distinct search paths: local search expands from matched entities through related text units, reports, and neighbors, while global search aggregates pre-written community reports using a map-reduce process.article author · ByteByteGo Newsletter