GraphRAG Glossary
A - F
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Chunk — a common name for a part of a larger text, resulting from text splitting
- Chunking — the technique of splitting a text into smaller parts
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Cypher — a common name for ISO-GQL (like Javascript to Ecmascript)
G
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Generative AI (GenAI) — artificial intelligence utilizing foundation models to generate content
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Graph-based indexing —
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Graph embedding — a vector embedding of a node, relationship, or other graph structure
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Graph-Guided Retrieval —
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GraphRAG — RAG using a knowledge graph
H - U
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Labeled Property Graph (LPG) — an alternative name for the Property Graph Model
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LLM — Large Language Model, a GenAI foundation model specializing in text
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Node — generally, a thing somehow connected to other things
- in a property graph, a node is a data record connected by relationships
- in mathematics, a point where two or more curves, lines, or edges meet (a vertex)
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Property Graph Model (PGM) — the data model of a graph database composed of nodes and relationships
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RAG — Retrieval Augmented Generation is a software design pattern for integrating a data source into the orchestration layer of a GenAI application
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Relationship — a data record containing an ordered pair of nodes in the Property Graph Model
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Text embedding — a vector embedding for text, intended to place the text within an information space based on semantics. For example, ""
V - Z
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Vector — a matrix with one row or column
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Vector embedding — a vector representation of other data. Can be derived from words, images or even graph structures
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Vector similarity — the “closeness” of two vectors within a vector space, implying that the vectors are similar according to the embedding approach
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Vertex —
- in geometry, the meeting point of two lines that form an angle
Unsorted and undefined
- Query-focused summarization (QFS)