April 6, 2024, 10 a.m. | Niharika Singh

MarkTechPost www.marktechpost.com

In the ever-evolving landscape of artificial intelligence, businesses face the perpetual challenge of harnessing vast amounts of unstructured data. Meet RAGFlow, a groundbreaking open-source AI project that promises to revolutionize how companies extract insights and answer complex queries with an unprecedented level of truthfulness and accuracy. What Sets RAGFlow Apart RAGFlow is an innovative engine […]


The post Meet RAGFlow: An Open-Source RAG (Retrieval-Augmented Generation) Engine Based on Deep Document Understanding appeared first on MarkTechPost.

accuracy ai shorts ai tool applications artificial artificial intelligence businesses challenge companies complex queries data document document understanding editors pick extract face groundbreaking insights intelligence landscape open-source ai open source projects project queries rag retrieval retrieval-augmented staff tech news technology understanding unstructured unstructured data vast

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Sr. VBI Developer II

@ Atos | Texas, US, 75093

Wealth Management - Data Analytics Intern/Co-op Fall 2024

@ Scotiabank | Toronto, ON, CA