GenAI Factory | Episode 3: RAG with Cloud Run & Vector Search скачать в хорошем качестве

GenAI Factory | Episode 3: RAG with Cloud Run & Vector Search

In this episode, we explore how to implement Retrieval-Augmented Generation (RAG) on Google Cloud using Cloud Run, Vertex AI, and Vector Search. 🔑 What you’ll learn in this video: How a Cloud Run job ingests sample movie data from Cloud Storage How to generate text embeddings with Vertex AI How embeddings are stored and searched in Vector Search How a Cloud Run frontend leverages these embeddings to answer user queries in JSON format Security and networking best practices with VPC, Load Balancers, and Cloud Armor ⚡ Architecture Highlights: Ingestion subsystem with Cloud Run + Vertex Embeddings + Vector Search Frontend subsystem with global/internal load balancers, managed certificates, Cloud Armor, and private VPC access Fully secured and production-ready RAG pipeline This setup allows you to build scalable, secure, and real-world RAG solutions on Google Cloud 🚀 👉 Don’t forget to check out Episode 1 & 2 of the GenAI Factory series for the complete journey! #GenAI #CloudRun #VectorSearch #GoogleCloud #RAG #AI #sumitk #thecloudbaba 🚀 Kickstart Your Cloud Career in Just 8 Weeks! 🎓 Join my Cloud Mastery Training (GCP + AWS + DevOps) 💡 Live weekend classes | 100% hands-on labs | Certification guidance 📱 Chat with me to enroll: https://wa.link/o0grpp