RAG Basics with Vector Search and FMAPI
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Deep Dive |
TRACK | Generative AI |
TECHNOLOGIES | Databricks Experience (DBX), GenAI/LLMs |
SKILL LEVEL | Beginner |
DURATION | 90 min |
Get an introduction to the GenAI ecosystem within Databricks, focusing on Retrieval Augmented Generation (RAG). The workshop will cover the basics of LLMs and RAG applications, covering two key Databricks services: Vector Search and the Foundation Models API (FMAPI). This workshop will help you understand the foundational pieces needed to build an LLM-based application on Databricks, including a walkthrough of building a minimal RAG application. This is a fantastic introduction, providing you with just enough coding to give you familiarity with the practical elements of RAG. Particularly if you have never had any hands-on experience with the Databricks Data Intelligence Platform, this workshop is a perfect on-ramp.
SESSION SPEAKERS
Anastasia Prokaieva
/Specialist Solutions Architect - GenAI
Databricks