Create Embeddings, Vector Search, and RAG with BigQuery
Completed by Benjamin BENOIT
February 9, 2025
2 hours (approximately)
Benjamin BENOIT'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: Generative AI
- Category: Vector Databases
- Category: Embeddings
- Category: Google Gemini
- Category: Retrieval-Augmented Generation
- Category: Google Cloud Platform
