Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
GitHub

Local-first RAG evaluation framework for LLM applications

Local-first RAG evaluation framework for LLM applications. 100% local, no API keys required.
IEEE

Transforming Applied Behavior Analysis Therapy: An Internet of Things-Guided, Retrieval-Augmented Large Language Model Framework

Abstract: We propose ABA-RAG, a retrieval-augmented generation (RAG) framework specifically tailored for applied behavior analysis (ABA) interventions, which integrates real-time emotional and ...
Microsoft

When industry knowledge meets PIKE-RAG: The innovation behind Signify’s customer service boost

As a world leader in connected LED lighting products, systems, and services, Signify (formerly Philips Lighting) serves not only everyday consumers but also a large number of professional users who ...
GitHub

retrieval-augmented-generation-rag

A RAG-based retrieval system for air pollution topics using LangChain and ChromaDB. 📄 QuestRAG: AI-powered PDF Question Answering & Summarizer Bot using LangChain, Flan-T5, and Streamlit: A GenAI ...
AppleInsider

Apple's research explains how AI can identify bugs in code and generate QE tests

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as well as for bug fixing and identification. Now, one of its new studies ...
blockchain

NVIDIA Unveils AI-Powered Log Analysis System with Multi-Agent Architecture

NVIDIA introduces a self-corrective AI log analysis system using multi-agent architecture and RAG technology, enhancing debugging and root cause detection for QA and DevOps teams. NVIDIA has announced ...
Frontiers

MEGA-RAG: a retrieval-augmented generation framework with multi-evidence guided answer refinement for mitigating hallucinations of LLMs in public health

Introduction: The increasing adoption of large language models (LLMs) in public health has raised significant concerns about hallucinations-factually inaccurate or misleading outputs that can ...