Vector Search and Embeddings
Completed by Richard Genet
May 7, 2024
4 hours (approximately)
Richard Genet'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: Generative AI
- Category: Vector Databases
- Category: Retrieval-Augmented Generation
- Category: Generative AI Agents
- Category: Google Cloud Platform
- Category: Large Language Modeling
- Category: LLM Application
- Category: Embeddings
