RAG’s Intelligent Upgrade Agentic RAR (Oxford University)
Discover Oxford’s RAR Framework, a groundbreaking AI model redefining reasoning with adaptive pathways and multi-agent ...
Statetechmagazine1d
What Is Retrieval Augmented Generation, and How Are State and Local Agencies Using It?
RAG allows government agencies to infuse generative artificial intelligence models and tools with up-to-date information, creating more trust with citizens. Phil Goldstein is a former web editor of ...
FXStreet6d
Make the most of FXStreet Forex Interactive Chart
over 6000 assets (including all Forex pairs, Cryptocurrencies, Commodities, Indices and US stocks) unique interbank rates extensive historic data the option to save your configuration Here below ...
GitHub2d
A simple, easy-to-hack GraphRAG implementation
😭 GraphRAG is good and powerful, but the official implementation is difficult/painful to read or hack. 😊 This project provides a smaller, faster, cleaner GraphRAG, while remaining the core ...
IEEE5d
“Pre-train, prompt” Framework to Boost Graph Neural Networks Performance in EEG Analysis
However, EEG data have a complex nonEuclidean structure and are often scarce, making training effective graph neural network (GNN) models difficult. We propose a “pre-train, prompt” framework in graph ...
GitHub1d
TrustRAG:The RAG Framework within Reliable input,Trusted output
TrustRAG is a configurable and modular Retrieval-Augmented Generation (RAG) framework designed to provide reliable input and trusted output, ensuring users can obtain high-quality and trustworthy ...