Vector Search and Embeddings
Completed by Bhagyadhar Mohanty
February 13, 2025
4 hours (approximately)
Bhagyadhar Mohanty'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: Embeddings
- Category: Vector Databases
- Category: Generative AI Agents
- Category: Natural Language Processing
- Category: Large Language Modeling
- Category: Google Cloud Platform
- Category: Retrieval-Augmented Generation
