Aptly Technology Launches Groundbreaking AI Platform For Enhancing Customer Experience & Improving Operational Efficiency
AptlyStar is a secure platform that enables users to train their own GenAI agents with their preferred data in just minutes, ...
Out-analyzing analysts: OpenAI’s Deep Research pairs reasoning LLMs with agentic RAG to automate work — and replace jobs
OpenAI’s Deep Research pairs advanced reasoning LLMs with agentic RAG, delivering automated reports that rival human analysts — at a fraction of the cost. This breakthrough AI tool could redefine ...
Microsoft5d
5 key features and benefits of retrieval augmented generation (RAG)
Explore key features and benefits of retrieval augmented generation (RAG) to seamlessly integrate information retrieval to ...
GitHub3d
Conversational-RAG-with-PDF-Uploads-and-Chat-History-NLP
This project implements a Retrieval-Augmented Generation (RAG) system that allows users to upload PDF documents and engage in a conversational question-answering session about their content. The ...
Statetechmagazine2d
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 ...
DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...
GitHub3d
Conversational RAG with PDF Uploads and Chat History
This project implements a Retrieval-Augmented Generation (RAG) system that allows users to upload PDF documents and engage in a conversational question-answering session about their content. The ...
Ars Technica25d
Anthropic builds RAG directly into Claude models with new Citations API
"The core of the Retrieval Augmented Generation (RAG) pattern is to take a user's question, retrieve portions of documents that might be relevant to that question and then answer the question by ...