GRIX (Graph Index) is an innovative tool designed to enhance retrieval-augmented generation (RAG) models by leveraging knowledge graphs within a Neo4j database. Capable of processing vast document corpora, GRIX transforms textual data into a structured graph format, optimizing information retrieval through enriched relational context. By utilizing the inherent structure and connections within the graph, GRIX improves the efficiency and accuracy of query responses in RAG models. This tool capitalizes on the robust querying capabilities of Neo4j, enabling users to seamlessly navigate complex datasets and retrieve contextually relevant information, making it a valuable asset for applications requiring deep, relational data insight.

With Filip Seitl

Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag