Vector Search and Embeddings
Completed by Maximiliano Villanueva Tolcachier
January 27, 2024
4 hours (approximately)
Maximiliano Villanueva Tolcachier'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: Generative AI
- Category: Google Cloud Platform
- Category: Large Language Modeling
- Category: Vector Databases
- Category: Embeddings
- Category: Retrieval-Augmented Generation
- Category: Generative AI Agents
