SESSION
Retrieval-Augmented Generation (RAG) Applications (repeat)
OVERVIEW
| EXPERIENCE | In Person |
|---|---|
| TYPE | Paid Training |
| TRACK | Paid Training |
| DURATION | 240 min |
- Audience: Machine learning practitioners
- Hands-on labs: Yes
- Certification path: Databricks Certified Generative AI Engineer Associate
- Description: This course is designed to introduce participants to contextual generative AI solutions using the retrieval-augmented generation (RAG) method. Firstly, participants will be introduced to the RAG architecture and the significance of contextual information using Mosaic AI Playground. Next, the course will demonstrate how to prepare data for generative AI solutions and connect this process with building an RAG architecture. Finally, participants will explore concepts related to context embedding, vectors, vector databases, and the utilization of the Mosaic AI Vector Search product.