The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your ...

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 ...

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 ...

在数字化时代，数据分析已成为企业决策的核心驱动力。然而，随着数据量的爆发式增长和业务复杂性的提升，传统的数据分析工具已难以满足企业对高效、精准和深度洞察的需求。本文将探讨大语言模型（LLM）、图检索增强生成（Graph RAG）与智能指标平台的 ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

AUSTIN, Texas, Dec. 11, 2023 — data.world, a leader in AI-ready data cataloging, recently released its benchmark report on LLM (Large Language Model) response accuracy, which ignites data ...