Deploying a GenAI app on Google Cloud | Code walkthrough скачать в хорошем качестве

Deploying a GenAI app on Google Cloud | Code walkthrough

This video walks you through Google's jump start solution for deploying a GenAI app on Google Cloud. It includes and explains some best practices: using Terraform from HashiCorp for infrastructure-as-code (IaC) using PostGreSQL as vector database use Gemini-Flash-2.0 (or any other) as LLM use serverless Cloud Run for deploying a scalable API - great service use Cloud Run Jobs to ingest data into the vector database. Code: https://github.com/GoogleCloudPlatfor... Blog post "Vector databases are the wrong abstraction": https://www.timescale.com/blog/vector... Table of contents: 09:00: RAG 11:40: Cloud SQL, vector databases 15:40 gcloud SDK 16:15: Terraform, tfenv 22:05: Bootstrapping terraform 29:20: Using Claude.ai for debugging 33:45: Setting up all infrastructure 38:30: Discussing “Vector databases are the wrong abstraction” 53:55: Creating app images 54:55: Initializing the database 1:10:50: Loading the embeddings 1:23:05: Explaining the Chatbot API 1:36:05: Debugging embeddings job