Vector Search and Embeddings
Completed by SU XINGTONG
June 11, 2025
4 hours (approximately)
SU XINGTONG '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: LLM Application
- Category: Generative AI
- Category: Natural Language Processing
- Category: Generative AI Agents
- Category: Vector Databases
- Category: Embeddings
- Category: Large Language Modeling
- Category: Google Cloud Platform
- Category: Retrieval-Augmented Generation
