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: Natural Language Processing
- Category: Semantic Web
- Category: Embeddings
- Category: Algorithms
- Category: Large Language Modeling
- Category: Generative AI
- Category: Retrieval-Augmented Generation
- Category: Google Cloud Platform
- Category: Vector Databases
