The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today ...
IEEE

Edge-AI Multimodal RAG Chat bot with Personalized Knowledge Graph for Offline Privacy-Preserving Information Retrieval

Abstract: This paper presents EMR-PKG, an Edge-AI multimodal Retrieval-Augmented Generation (RAG) chat bot system that operates entirely on edge devices, ensuring privacy through offline processing.
marktechpost

A Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG

A Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG By Michal Sutter - ...
Forbes

Benchmarking AI Accuracy: A New Metric For Engineering Leaders

Almost every company seemed to ship an "AI feature" last year. It felt like a mandate: Add Copilot to the dashboard, build a retrieval-augmented generation (RAG) bot for documentation, automate the ...
GitHub

A Retrieval-Augmented Generation (RAG) chatbot that answers questions from your own documents using local or cloud-based LLMs.

Retrieval — finds relevant chunks from your document knowledge base using semantic search Generation — feeds those chunks to an LLM to generate an accurate, context-aware answer This means your ...
GitHub

zixuantai/heating-rag-chatbot

heating-rag-chatbot/ ├── app.py # Streamlit 应用入口 ├── config.py # 配置文件 ├── requirements.txt # 依赖包 ├── .env.example # 环境变量示例 ├── .gitignore # Git 忽略配置 ├── README.md ...
comparethecloud.net

How to Build a RAG Chatbot on Azure UK South Using Your Own Company Documents Without a Data Science Team

Bottom line: You can build a working RAG chatbot on Azure UK South in a single day using Azure AI Foundry's guided setup. The three services you need are Azure AI Search (retrieval), Azure OpenAI ...
marktechpost

How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...
Geeky Gadgets

Claude Code RAG Masterclass : 8 Steps Proves Structure, Not Size, Drives Real Answers

What if you could build an AI system that not only retrieves information with pinpoint accuracy but also adapts dynamically to complex tasks? Below, The AI Automators breaks down how to create a ...