- Large Language Modeling
- Embeddings
- Natural Language Processing
- Retrieval-Augmented Generation
- Semantic Web
- Algorithms
- Generative AI
- Vector Databases
- Google Cloud Platform
Vector Search and Embeddings
Completed by Abien Fred Agarap
April 23, 2024
4 hours (approximately)
Abien Fred Agarap'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
