langchain-ai/rag-from-scratch Alternatives

Choose it for a similar, actively maintained notebook-style RAG tutorial using LangChain.

Everything you need to know to build your own RAG application

Choose it when you prefer a JavaScript/local-LLM implementation over Python notebooks.

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

Choose it when you already understand RAG basics and want advanced technique notebooks.

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Choose it when you want to learn agentic RAG workflows with LangGraph instead of baseline RAG.

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Choose it for a comprehensive set of advanced RAG technique notebooks.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.