SESSION

RAG Basics with Vector Search and FMAPI

OVERVIEW

EXPERIENCEIn Person
TYPEDeep Dive
TRACKGenerative AI
TECHNOLOGIESDatabricks Experience (DBX), GenAI/LLMs
SKILL LEVELBeginner
DURATION90 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