🔎Generative AI
Vertex AI Search and Conversation: full course guide
Google's no-code RAG solution. Deploy a production-ready search engine for an e-commerce site using Google's pre-indexed retail models in under 30 minutes.
59 pages3 modules15 topics
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What is inside this guide
01Vertex AI Search Overview
- Vertex AI Search vs Building Your Own RAG
- Data Store Types: Web Crawl, BigQuery, GCS, Inline
- Indexing and Serving Architecture on GCP
- IAM Setup and Project Configuration
- Pricing and Quota Considerations
02E-Commerce Search Engine
- Importing a Product Catalog into a Structured Data Store
- Enabling Retail Search with Pre-Built Ranking Models
- Personalisation and User Event Ingestion
- Query API: Search, Autocomplete, and Recommendations
- A/B Testing Search Configurations
03Conversation & Grounding
- Vertex AI Conversation: Multi-Turn Chat on Your Data
- Grounding LLM Responses to Your Data Store
- Fallback Handling for Out-of-Scope Queries
- Embedding Vertex AI Search into a Next.js Frontend
- Capstone: E-Commerce Search + Chat Widget Deployed in 30 Minutes
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