Vector Search and Embeddings
Completed by AHMED NAJI MUSLEH NUSARI
July 24, 2024
4 hours (approximately)
AHMED NAJI MUSLEH NUSARI'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: Large Language Modeling
- Category: Google Cloud Platform
- Category: Embeddings
- Category: Generative AI Agents
- Category: Generative AI
- Category: Retrieval-Augmented Generation
