Morningstar

Sēd Launches Rain™, the First End-to-End Generative Engine Optimization (GEO) Offering Built to Help Brands Infiltrate and Train AI, Not Chase It

Sēd today announced the launch of Rain™, a proprietary Generative Engine Optimization (GEO) product designed to build long-term visibility, authority, and trust across search, answer engines, and ...
Yahoo Finance

Sēd Launches Rain™, the First End-to-End Generative Engine Optimization (GEO) Offering Built to Help Brands Infiltrate and Train AI, Not Chase It

NEW YORK, January 22, 2026--(BUSINESS WIRE)--Sēd today announced the launch of Rain™, a proprietary Generative Engine Optimization (GEO) product designed to build long-term visibility, authority, and ...
IEEE

Design and Implementation of an Intelligent Question-Answering System Based on a Chinese Literature Knowledge Graph

Abstract: Chinese literature is an important part of Chinese culture, carrying rich historical, cultural, and philosophical connotations, and holds unique academic value and social significance.
GitHub

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation

This repository contains the official implementation of RAG-GFM, proposed in the paper RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation (WWW 2026 ...
GitHub

This project implements a dynamic graph-based Mixture-of-Experts RAG system using persona JSON files and a local Ollama model.

Welcome to this comprehensive guide on building a dynamic, graph-based Mixture-of-Experts (MoE) Retrieval-Augmented Generation (RAG) system that leverages persona-driven AI agents. This project ...