Rag
5 articles
How Knowledge Graphs Make AI Answers More Accurate
This article explains how integrating knowledge graphs into Retrieval-Augmented Generation (RAG) systems significantly enhances AI's factual accuracy and reasoning capabilities. By moving beyond unstructured text, knowledge graphs provide a structured foundation that reduces AI hallucinations and improves reliability.
What Are Vector Databases and How Do They Power AI Applications?
Retrieval-Augmented Generation (RAG) is the primary use case driving vector database adoption in 2026.
New RAG Methods Bypass Traditional OCR for Searchable PDFs
A new benchmark reveals traditional optical character recognition (OCR) frequently fails across 11 challenging document types, directly impacting AI-powered Retrieval-Augmented Generation (RAG) system
Vision LLMs unlock chart and diagram understanding for RAG systems
In a recent benchmark, Vision LLMs correctly answered complex questions about historical voter turnout from a multi-decade Indian election chart, a task impossible for traditional text-based AI, accor
Proxy-Pointer RAG builds accurate, private knowledge graphs
A new AI framework builds highly accurate knowledge graphs from sensitive data, such as exercise records, without compromising privacy.