Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...

Progress’ semantic and graph RAG approach—featuring MarkLogic Server 12—delivers 33% higher LLM accuracy and faster discovery for customers Unlike other solutions, MarkLogic Server 12 enables scalable ...

Daniel D. Gutierrez, Editor-in-Chief & Resident Data Scientist, insideAI News, is a practicing data scientist who’s been working with data long before the field came in vogue. He is especially excited ...

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 ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...