Vector Search and Embeddings
Completed by John Wang
March 14, 2024
4 hours (approximately)
John Wang'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: Google Cloud Platform
- Category: Retrieval-Augmented Generation
- Category: Vector Databases
- Category: Natural Language Processing
- Category: Large Language Modeling
- Category: Algorithms
- Category: Generative AI
- Category: Semantic Web
- Category: Embeddings
