- Published on
- Authors
- Name
- aithemes.net
The volume of articles, papers, and other resources on RAG is vast. Below is a personal selection, sorted roughly from introductory to more advanced materials. Please note, this classification is subjective.Conceptual and Introductory
Advanced RAG Techniques
Advanced RAG Techniques: an Illustrated Overview
Papers
Retrieval-Augmented Generation for Large Language Models: A Survey
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
Enjoyed this post? Found it helpful? Feel free to leave a comment below to share your thoughts or ask questions. A GitHub account is required to join the discussion.
Keep reading
Related posts
Dec 7, 2025
0CommentsSecure Your Data, Unlock AI: Deploy Open WebUI Locally with Remote Ollama GPU
This technical guide details the deployment of Open WebUI in a Docker container via WSL, configured to interface with a remote, GPU-accelerated Ollama instance on a local network. Follow these steps for a decoupled, high-performance LLM interface setup.
Jun 17, 2025
0CommentsIntroducing Codestral Embed: Mistral AI's New State-of-the-Art Code Embedding Model
Analysis of Mistral AI's Codestral Embed, a new state-of-the-art embedding model specialized for code, detailing its performance, flexibility, key use cases like RAG and semantic search, and availability.
Feb 9, 2025
0CommentsEasy Guide: Installing and Running RagFlow Locally with DeepSeek - An End-to-End Tutorial
This easy-to-follow guide provides a comprehensive overview of how to install, configure, and run RagFlow locally using DeepSeek as the LLM model. Follow these steps for a seamless setup of the open-source retrieval-augmented generation engine from Infiniflow.
