Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Abstract: This article proposes an innovative method that utilizes the Neo4j graph database as a vector database to segment text, images, and table contents in process files and convert them into ...
Transform your documents into an intelligent knowledge base combining Neo4j's graph database with retrieval-augmented generation. Currently deployed with 12 technical books (30,006 chunks, 25.9 GB ...
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