Build a Production-Ready RAG Pipeline | Chroma Cloud + API Endpoints (Full Tutorial)

#rag #chromadb In this tutorial, I walk you through how to build a production-ready Retrieval Augmented Generation (RAG) system, not just a local demo. Most tutorials show RAG running locally with vector databases like ChromaDB, but real applications require cloud infrastructure, scalable vector storage, and API endpoints for seamless inference from the frontend. *In this video, you will learn how to:* - Build a full RAG pipeline - Store embeddings using ChromaDB Cloud - Design backend endpoints for inference - Connect your frontend application to the RAG system - Structure a production-grade AI architecture If you want to move from toy AI projects to real production AI systems, this tutorial is for you. *Check the code on GitHub:* https://github.com/CodeByFelix/Production-Ready-RAG-Tutorial.git *Connect with me* *LinkedIn:* https://www.linkedin.com/in/felix-ibeamaka/ *X:* https://x.com/Electronics__ *Facebook:* https://www.facebook.com/felixibeamaka/ *Instagram:* https://www.instagram.com/electroni6_247/ *TikTok:* https://www.tiktok.com/@UClF6nEUxzBRYcd8vjQOenyA *Join My WhatsApp Group:* https://chat.whatsapp.com/C9mZeTCLiNQAe4yxCTmVy4 #aiengineering