Aquant Inc., the provider of an artificial intelligence platform for service professionals, today introduced “retrieval-augmented conversation,” a new way for large language models to retrieve and ...

WALTHAM, Mass., Nov. 15, 2024 — Infinidat, a leading provider of enterprise storage solutions, has announced its Retrieval-Augmented Generation (RAG) workflow deployment architecture to enable ...

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 ...

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 ...

What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an advanced AI technique combining language generation with real-time information retrieval, creating responses ...

if you’re looking to build a wide range of AI chatbot you might be interested in a fantastic tutorial created by James Briggs on how to use Retrieval Augmented Generation (RAG) to make chatbot’s more ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...

The decades-long pursuit to capture, organize and apply the collective knowledge within an enterprise has failed time and again because available software tools were incapable of understanding the ...