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src/content/docs/reference/index.md

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In this GraphRAG Patterns catalog you can find an ever growing set of patterns for knowledge graph models, GraphRAG retrievers and Data Preparation tasks.
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Each RAG pattern is tailored to answer specific types of questions, requiring unique graph patterns and pre-processing steps.
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Finding the perfect GraphRAG pattern for your application isn’t straightforward — it demands experimentation with different retrieval patterns and a proper evaluation of the results.
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### GraphRAG Patterns
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* [Basic Retriever](/reference/graphrag/basic-retriever/)
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* [GraphRAG Patterns Field Guide](https://neo4j.com/developer-blog/graphrag-field-guide-rag-patterns/)
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* [Writing Software Patterns](https://www.martinfowler.com/articles/writingPatterns.html)
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* [Patterns of Software Architecture 5 - Pattern Languages](https://github.com/ppizarro/coursera/blob/master/POSA/Books/Pattern-Oriented%20Software%20Architecture/Pattern-Oriented%20Software%20Architecture%20Volume%205%20-%20%20On%20Patterns%20and%20Pattern%20Languages%20-%200471486485.pdf)
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* [Patterns of Software Architecture 5 - Pattern Languages](https://github.com/ppizarro/coursera/blob/master/POSA/Books/Pattern-Oriented%20Software%20Architecture/Pattern-Oriented%20Software%20Architecture%20Volume%205%20-%20%20On%20Patterns%20and%20Pattern%20Languages%20-%200471486485.pdf)
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## Selecting Retrievers
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It is very likely that one single pattern will not serve every purpose well, which is why an agentic approach that adapts to various queries will often be necessary.
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The patterns presented here, all target Once Retrieval strategies where the context for an answer to a user question is provided, querying the database only once.
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More complex questions might require an Iterative or a Multi-Stage Retrieval paradigm combining the use of different patterns (see [Graph Retrieval-Augmented Generation: A Survey](https://arxiv.org/pdf/2408.08921) for more details on Retrieval Paradigms).

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