TMCnet

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

Graphwise, the leading Graph AI provider, today announced the immediate availability of GraphRAG, a low-code AI-workflow engine designed to turn "Python prototypes" into production-grade systems ...
KMWorld

Graphwise introduces new GraphRAG solution that provides context and common sense to AI

Graphwise, a leading Graph AI provider, is introducing GraphRAG, a low-code AI-workflow engine designed to turn "Python prototypes" into production-grade systems instantly. According to the company, ...
InfoWorld

The journey towards a knowledge graph for generative AI

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...

AI’s Engine Room: How Retrieval-Augmented Generation (RAG) is transforming the future of trustworthy intelligence

AI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one such building block, enabling AI to produce trustworthy intelligence under given conditions. RAG can be ...
Finextra

Graph Neural Networks and GraphRAG: Navigating Open-World Complexity in Finance

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...