IEEE

Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA

Abstract: Retrieval augmented generation (RAG) improves the accuracy and dependability of generative AI models by integrating factual information from external databases. This technique is widely used ...
GitHub

BakkesMod RAG Documentation System

A 2026 Gold Standard Python-based Retrieval-Augmented Generation (RAG) system for querying BakkesMod SDK documentation. Built for autonomous AI agents with enterprise-grade observability, cost ...
IEEE

Explain-RAG: An Explainable RAG Framework with Chain-of-Thought Reasoning, NLI Verification, and Source Attribution

Abstract: Retrieval Augmented Generation (RAG) has brought a potent way of supplementing the factual accuracy of large language model (LLM) responses through external knowledge sources. Nevertheless, ...
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 ...
GitHub

Agentic RAG for Dummies

Step-by-step tutorial perfect for understanding core concepts. Start here if you're new to Agentic RAG or want to experiment quickly. User Query → Conversation Summary → Query Rewriting → Query ...