Create Embeddings, Vector Search, and RAG with BigQuery
Completed by JOSE MANUEL ESCALANTE GALAN
January 3, 2026
2 hours (approximately)
JOSE MANUEL ESCALANTE GALAN'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: LLM Application
- Category: Google Gemini
- Category: AI Integrations
- Category: Vector Databases
- Category: AI Workflows
- Category: Generative AI
- Category: Google Cloud Platform
- Category: Embeddings
