RAG That Works : Mix Keyword, Graph, and SQL for Accurate Answers

Cut hallucinations with tailored retrieval plans. We cover tag filters, hybrid ranking, and API calls to handle exact IDs and fresh data.
Forbes

How Retrieval-Augmented Generation Could Solve AI’s Hallucination Problem

Large language models (LLMs) like OpenAI’s GPT-4 and Google’s PaLM have captured the imagination of industries ranging from healthcare to law. Their ability to generate human-like text has opened the ...
SiliconANGLE

Couchbase’s database gets support for vector search and retrieval-augmented generation

Cloud database-as-a-service provider Couchbase Inc. today added some powerful new capabilities to its platform that should enhance its ability to support more advanced generative artificial ...
InfoWorld

What is retrieval-augmented generation? More accurate and reliable LLMs

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 ...
eWeek

What is Retrieval-Augmented Generation? How it Works & Use Cases

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
Forbes

Unleashing The Power Of Retrieval-Augmented Generation For Medium-Sized Businesses

Many medium-sized business leaders are constantly on the lookout for technologies that can catapult them into the future, ensuring they remain competitive, innovative and efficient. One such ...
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 ...