Create Embeddings, Vector Search, and RAG with BigQuery
Completed by Bruno Agresta Gonzalez
February 23, 2025
2 hours (approximately)
Bruno Agresta Gonzalez'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 Cloud Platform
- Category: Vector Databases
- Category: AI Workflows
- Category: Google Gemini
- Category: AI Integrations
- Category: LLM Application
- Category: Retrieval-Augmented Generation
- Category: Generative AI
