Geeky Gadgets

How to build a Retrieval-Augmented Generation (RAG) system

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.
InfoWorld

Lessons from building retrieval systems for AI assistants

Retrieval augmented generation (RAG) has quickly risen to become one of the most popular architectures when building AI assistants, especially in scenarios where combining the power of language models ...
TechRepublic

Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI

Retrieval Augmented Generation: What It Is and Why It Matters for Enterprise AI Your email has been sent DataStax's CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, ...
Geeky Gadgets

OpenAI’s Index-Free RAG: The Future of AI Information Retrieval

What if the way we retrieve information from massive datasets could mirror the precision and adaptability of human reading—without relying on pre-built indexes or embeddings? OpenAI’s latest ...