Build a RAG System with Claude & ChatGPT APIs

This tutorial dives into creating a retrieval-augmented generation (RAG) system leveraging the capabilities of the Claude and ChatGPT APIs. RAG systems are crucial for enhancing AI models with access to external data, improving their context and accuracy. This guide offers a practical, intermediate-level walkthrough that should take about 45 minutes to follow, making it a valuable resource for developers looking to boost their AI projects with more dynamic, data-driven responses. The tutorial is part of a broader series on Agentic Workflows, promising additional resources and translations for a wider audience.