Vector Search and Embeddings
Completed by Jacob Matthew Zipperer
July 17, 2024
4 hours (approximately)
Jacob Matthew Zipperer'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: Large Language Modeling
- Category: Google Cloud Platform
- Category: Vector Databases
- Category: Generative AI Agents
- Category: Natural Language Processing
- Category: LLM Application
- Category: Generative AI
- Category: Embeddings
- Category: Retrieval-Augmented Generation
