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 ...
PR Newswire

New Release of Graphwise GraphDB Delivers Multi-Method Graph RAG to Accelerate R&D for GenAI Applications, Increase Precision, and Enable Self-Service Data

No-code Graph RAG employs autonomous agents to integrate enterprise data and domain knowledge with LLMs for context-rich, explainable conversations By leveraging knowledge graphs for retrieval ...
heise online

GraphRAG: Combination of graphs and text for LLMs

Generative language models such as ChatGPT can answer almost any question immediately and are easy to use. However, a closer look reveals a few problems. ist Data Scientist und Machine Learning ...
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 ...
Finanznachrichten

Graphwise.ai: New Release of Graphwise GraphDB Delivers Multi-Method Graph RAG to Accelerate R&D for GenAI Applications, Increase Precision, and Enable Self-Service Data

No-code Graph RAG employs autonomous agents to integrate enterprise data and domain knowledge with LLMs for context-rich, explainable conversations NEW YORK, Nov. 20, 2024 /PRNewswire/ -- Graphwise, ...