RAG-Anything Tutorial: Build a Multimodal Retrieval Pipeline for Text, Tables, Equations, and Images in Colab

This tutorial demonstrates how to build a multimodal RAG (Retrieval-Augmented Generation) system capable of processing and retrieving information from text, tables, equations, and images. The guide walks through implementation in Google Colab using OpenAI's APIs and tests various retrieval modes including naive, local, global, and hybrid approaches.