Create Embeddings, Vector Search, and RAG with BigQuery
Completed by Yuxuan Lu
May 29, 2026
2 hours (approximately)
Yuxuan Lu's account is verified. Coursera certifies their successful completion of Create Embeddings, Vector Search, and RAG with BigQuery
What you will learn
Generate embeddings using the embedding models with BigQuery.
Perform vector search in BigQuery and understand its process.
Create a RAG (Retrieval Augmented Generation) pipeline with BigQuery.
Skills you will gain
- Category: Retrieval-Augmented Generation
- Category: Google Gemini
- Category: AI Workflows
- Category: Embeddings
- Category: Google Cloud Platform
- Category: Generative AI
- Category: AI Integrations
- Category: Vector Databases
- Category: LLM Application
