Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
Yahoo Finance

New GraphRAG Solution Moves Beyond Vector-only RAG - Knowledge Graphs Provide Context and Common Sense to AI

Latest Graphwise offering bridges the gap between complex enterprise data and functional AI agents, using ontologies reduces inaccurate answers 2X in benchmarks Equally important, the company ...
InfoWorld

Overcoming AI hallucinations with RAG and knowledge graphs

Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...
EurekAlert!

RSA-KG: A graph-based rag enhanced AI knowledge graph for recurrent spontaneous abortions diagnosis and clinical decision support

The figure depicts the four-step，Graph-based Retrieval - Augmented Generation (RAG) process for the RSA - KG system, which aims to integrate multimodal data for RSA diagnosis and treatment. Recurrent ...
Nature

Graph Pattern Matching Techniques in Large-Scale Networks

Graph pattern matching constitutes the identification of specific substructures within a larger network, a task of central importance across disciplines as diverse as social media analysis, ...
Finanznachrichten

New GraphRAG Solution Moves Beyond Vector-only RAG - Knowledge Graphs Provide Context and Common Sense to AI

Latest Graphwise offering bridges the gap between complex enterprise data and functional AI agents, using ontologies reduces inaccurate answers 2X in benchmarks NEW YORK, Feb. 16, 2026 /PRNewswire/ -- ...