Vector Search and Embeddings
Completed by VAMSHI POKALA
May 20, 2024
4 hours (approximately)
VAMSHI POKALA'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: Generative AI
- Category: Embeddings
- Category: Google Cloud Platform
- Category: Natural Language Processing
- Category: Retrieval-Augmented Generation
- Category: Semantic Web
- Category: Large Language Modeling
- Category: Algorithms
