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/bl...

🔗 Try Eden AI today: https://app.edenai.run/user/register?...

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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