Vector Search and Embeddings
Completed by Kevin Huang
January 15, 2025
4 hours (approximately)
Kevin Huang'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: Embeddings
- Category: Generative AI Agents
- Category: LLM Application
- Category: Generative AI
- Category: Natural Language Processing
- Category: Google Cloud Platform
- Category: Large Language Modeling
- Category: Retrieval-Augmented Generation
