Create Embeddings, Vector Search, and RAG with BigQuery
Completed by Tom De Keukeleire
May 2, 2026
2 hours (approximately)
Tom De Keukeleire'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: Generative AI
- Category: AI Workflows
- Category: Embeddings
- Category: Google Gemini
- Category: AI Integrations
- Category: Vector Databases
- Category: Google Cloud Platform
- Category: LLM Application
