VentureBeat

AWS debuts advanced RAG features for structured, unstructured data

Getting enterprise data into large language models (LLMs) is a critical task for enabling the success of enterprise AI deployments. That's where retrieval augmented generation (RAG) fits in, which is ...
InfoWorld

AWS approach to RAG evaluation could help enterprises reduce AI spending

AWS researchers have developed a new method for designing an automated RAG evaluation mechanism that could help enterprises build apps faster and reduce costs. AWS’ new theory on designing an ...
InfoWorld

AWS brings RAG evaluation and LLM-as-a-judge feature to Amazon Bedrock

Amazon Web Services (AWS) has updated Amazon Bedrock with features designed to help enterprises streamline the testing of applications before deployment. Announced during the ongoing annual re:Invent ...
Compare the Cloud

Vector Databases and Graph Databases Explained, and Who Actually Sells Them

What vector and graph databases actually do, why AI agents made both matter, which vendors offer UK hosting, and when the ...
Web CMS

Coveo Launches RAG-as-a-Service for AWS AI Agents

Developer impact. Developers gain a managed foundation for building compliant, contextually relevant GenAI applications. Coveo launched RAG-as-a-Service for AWS AI agents on Dec. 1, providing a ...
Harvard Business Review

The Popular Way to Build Trusted Generative AI? RAG

Organizations of all sizes, across all sectors, are rushing to reap the benefits of generative AI, from boosting operational efficiencies to reinventing their businesses. But as they begin to adopt ...
VentureBeat

AWS debuts advanced RAG features for structured, unstructured data

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Getting enterprise data into large language models (LLMs) is a critical ...