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

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. Focuses on the essential workflow without advanced features to ...
GitHub

GitHub - 2501Pr0ject/RAGnarok-AI: Local-first RAG evaluation framework for LLM applications. 100% local, no API keys required.

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

Rag-Based Framework for Intelligent Banking Assistants Leveraging Structured Financial Data

Abstract: The paper presents a novel Retrieval-Augmented Generation (RAG) framework for intelligent banking assistants, integrating structured financial and regulatory data to improve accuracy and ...