Staten Island Quilters Guild members crafted 25 handmade quilts for the Mother/Baby Unit, continuing their tradition of ...

At Rag & Bone, one of Jennie McCormick and her team’s missions is to create clothing that not only fits well, but also has great hanger appeal. It’s probably why Rag & Bone’s popularity hasn’t waned ...

To help solve this, Google released the File Search Tool on the Gemini API, a fully managed RAG system “that abstracts away the retrieval pipeline.” File Search removes much of the tool and ...

RAG can make your AI analytics way smarter — but only if your data’s clean, your prompts sharp and your setup solid. The arrival of generative AI-enhanced business intelligence (GenBI) for enterprise ...

Unlike many other designers, Jennie McCormick and her team at Rag & Bone are focused less on making buzzy statement clothes but more about the real-life essentials. And that’s perhaps what keeps Rag & ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...

Recently, a new sentiment has emerged in AI security circles: "RAG is dead." I've observed firsthand how organizations are increasingly abandoning Retrieval-Augmented Generation (RAG) architectures in ...

A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

Understanding RAG architecture and its fundamentals Now seen as the ideal way to infuse generative AI into a business context, RAG architecture involves the implementation of various technological ...

Imagine asking a question to your favorite AI assistant, only to receive an outdated or incomplete answer. Frustrating, right? Large Language Models (LLMs) are undeniably powerful, but they have a ...