- Generative AI Agents
- LLM Application
- Applied Machine Learning
- Large Language Modeling
- Algorithms
- Semantic Web
- Embeddings
- Vector Databases
- Retrieval-Augmented Generation
- Unsupervised Learning
Vector Databases: from Embeddings to Applications
Completed by Darnel Lloyd
September 9, 2024
1 hours (approximately)
Darnel Lloyd's account is verified. Coursera certifies their successful completion of Vector Databases: from Embeddings to Applications
What you will learn
Build efficient, practical applications including hybrid and multilingual searches, for diverse industries.
Understand vector databases and use them to develop GenAI applications without needing to train or fine-tune an LLM yourself.
Learn to discern when best to apply a vector database to your application.
Skills you will gain
