Create Embeddings, Vector Search, and RAG with BigQuery
Completed by Moussa Traore
August 25, 2026
2 hours (approximately)
Moussa Traore'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: Embeddings
- Category: Google Gemini
- Category: Retrieval-Augmented Generation
- Category: LLM Application
- Category: AI Workflows
- Category: Vector Databases
- Category: Google Cloud Platform
- Category: Generative AI
- Category: AI Integrations
