Search Engine Land

GraphRAG: What entity-first retrieval means for SEO

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...
Microsoft

From package to postinstall payload: Inside the Mastra npm supply chain compromise by Sapphire Sleet

June 19, 2026 update: Microsoft assesses with high confidence that this activity is attributable to Sapphire Sleet, a North Korean state actor that primarily targets the financial sector. The ...
IEEE

A Comparative Evaluation of RAG Architectures for Cross-Domain LLM Applications: Design, Implementation, and Assessment

Abstract: Retrieval-Augmented Generation (RAG) pairs large language models with external search to constrain knowledge staleness and hallucination, a critical need in finance and e-commerce where ...
The New York Times

For Most Household Cleaning Tasks, Bring Back the Rag

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Caroline Mullen Caroline Mullen is a writer focused on cleaning and organizing ...
IEEE

EvaRAG: Evaluating Advanced RAG Techniques With Indexing and Distance Metrics

Abstract: Retrieval Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing large language models (LLMs) with external knowledge. Yet, the performance of RAG pipelines is ...
VentureBeat

The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...
Hacker

Building a Secure RAG Pipeline on AWS: A Step-by-Step Implementation Guide

When you are connecting your company’s internal data to Large Language models through RAG, APIs, SQL, etc., are you sure that it is completely safe? There might be contracts signed with the LLM ...
Virtualization Review

Running AI on a Raspberry Pi, Part 1: Overview

LLMs and RAG make it possible to build context-aware AI workflows even on small local systems. Running AI locally on a Raspberry Pi can improve privacy, offline access, and cost control. Performance, ...
GitHub

All RAG Techniques: A Simpler, Hands-On Approach

This repository takes a clear, hands-on approach to Retrieval-Augmented Generation (RAG), breaking down advanced techniques into straightforward, understandable implementations. Instead of relying on ...
Hacker

RAG Is Not a Feature: Why Your AI Still Hallucinates

If you are still building Retrieval Augmented Generation systems like it is 2022, you are already behind. Back then, the formula was simple: take some text, chop it into chunks, turn them into vectors ...