Community summary
A community summary is a concise textual description of information associated with a group of related entities in a knowledge graph.
Domain-Specific Small Language Models
A high-level summary of a group of related graph entities used as an intermediate unit for search and response generation.
- How it is used
- Supports global search by supplying intermediate summaries for query-time answer synthesis.
- How deep it goes
- Defines the artifact and its role in GraphRAG, but stops short of detailing the summarization algorithm itself.
- Examples
- Uses graph communities, a movie database illustration, and query-time partial-answer synthesis.
- What you can do after
- Apply it to build global-search responses from graph-derived community overviews.
Read how Domain-Specific Small Language Models explains community summary →
Essential GraphRAG
A community-level summary is a concise natural-language description of the entities, relationships, themes, and information associated with a graph community.
- How it is used
- Uses summaries as intermediate retrieval units for broad thematic questions and as supporting context for entity-focused search.
- How deep it goes
- Explains generation, hierarchy selection, map-reduce use, and graph integration, but does not detail the summarization prompt or algorithm internals.
- Examples
- Demonstrates stored community reports, rated key points, map-reduce aggregation, a global retriever, and local-search context for Ulysses.
- What you can do after
- Apply community summaries in global or local GraphRAG retrieval and tune hierarchy level or rating thresholds for efficiency and detail.
Related concepts
- global searchused by · Global search is a GraphRAG retrieval technique that answers broad queries by aggregating and synthesizing information across community summaries or other corpus-level representations.
- GraphRAGproduced by · GraphRAG is a retrieval-augmented generation approach that uses graph-structured knowledge and relationships to retrieve context for language-model responses.
- MapReduceused by · MapReduce is a computational pattern that applies map operations to input elements or partitions and combines the intermediate results through reduction or aggregation.
- language modelproduced by · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
- knowledge graphhas part · A knowledge graph is a graph-structured representation of entities and their semantically meaningful relationships, often including associated attributes or facts.
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