Vector Search and Embeddings
Completed by Roy Tenny
May 17, 2024
4 hours (approximately)
Roy Tenny'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: Large Language Modeling
- Category: Google Cloud Platform
- Category: Generative AI
- Category: Vector Databases
- Category: Generative AI Agents
- Category: Embeddings
- Category: Retrieval-Augmented Generation
