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Copy file name to clipboardExpand all lines: modules/genai-ecosystem/pages/agent-neo.adoc
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. **Similarity and Graph Structuring**: Text embeddings are utilized to identify similar text chunks, which are interconnected using "SIMILAR_TO" relationships to further structure the graph via the Leiden algorithm.
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. **Metadata Integration and Feedback Loop**: Session metadata and user feedback are integrated into the graph, enhancing data richness for future queries and analyses.
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image::agent-neo-structure.png[Graph Structure Example, width=600, align="center"]
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// image::agent-neo-structure.png[Graph Structure Example, width=600, align="center"]
* *Explainability & Observability*: Enhances the transparency and explainability of operations by incorporating vectors within a graph structure, moving away from the "black box" nature of traditional models.
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* *Rapid Iteration and Integration*: Facilitates quick iterations and seamless integration of diverse data sources through Neo4j’s Label Property Graph, supported by in-platform feature engineering capabilities.
Copy file name to clipboardExpand all lines: modules/genai-ecosystem/pages/graphrag.adoc
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While documents mostly represent a vertical (and sometimes temporal) structure of a flow of segments of information, GraphRAG with entity extraction and clustering captures the horizontal re-occurrence and enhancement of topics across documents.
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