Build Your First RAG-Based LLM App From Scratch!

Want to create your own Retrieval-Augmented Generation (RAG) system from the ground up? In this tutorial, we’ll walk you through everything you need to know—from setting up your RAG project to embedding it on your website. 🔍 What You’ll Learn: ✅ Understand key parameters like embeddings, databases, chunking, and more. ✅ Learn how to ingest files, URLs, and text into your RAG system. ✅ Optimize your AI’s behavior with a well-crafted system prompt. ✅ Delete chunks, modify metadata, and run searches efficiently. ✅ Connect your AI with external applications. ✅ Embed RAG on Your Website 💬 Questions? Drop them in the comments! 📖 Get the code & resources: https://github.com/edenai/cookbook/blob/master/RAG/rag.py 🔗 Try Eden AI today: https://app.edenai.run/user/register?utm_source=youtube&utm_medium=video-description&utm_campaign=dev-advocate-krishna&utm_term=rag 📢 Don’t forget to subscribe and hit the 🔔 for more AI tutorials! 00:00:00 - Introduction to RAG 00:01:17 - Setting Up a RAG Project (Quick Start + Parameters) 00:06:30 - Uploading Files, URLs, and Text Data 00:07:20 - Setting Up the System Prompt 00:08:15 - Testing RAG on the Frontend + API Params 00:14:30 - Implementing the RAG API 00:23:58 - Final Thoughts & Next Steps