Vector Search and Embeddings
Completed by Ever Frank Avendaño Meza
February 25, 2025
4 hours (approximately)
Ever Frank Avendaño Meza's account is verified. Coursera certifies their successful completion of Vector Search and Embeddings
What you will learn
Explain vector search processes and key technologies.
Construct semantic search using vector embeddings with Vertex AI Vector Search.
Explore grounded agents and retrieval-augmented generation (RAG) to mitigate AI hallucinations.
Create a hybrid search engine with Vertex AI Vector Search.
Skills you will gain
- Category: Vector Databases
- Category: Retrieval-Augmented Generation
- Category: Google Cloud Platform
- Category: Generative AI
- Category: Large Language Modeling
- Category: Embeddings
- Category: Generative AI Agents
