Building a Personalized Chatbot App with RAG and Snowflake Feature Store

RAG is incredibly useful when searching huge volumes of data quickly, but it often can lack full context. Feature Stores can supplement queries with relevant and automated information from structured data to augment RAG to produce more accurate and relevant results. Stride, a leader in remote and online learning, uses Snowflake Feature Store in a RAG app that provides accurate, safe assistance to students and teachers with AI tutors and graders.

Watch this session recording with customer Stride and feature store experts from Snowflake and phData to learn more about:

• Building consistent downstream ML pipelines that are continuously updated on fresh data with Snowflake Feature Store
• How Stride uses Snowflake Feature Store for fully contextualized chats and automatic personalization that learns from interactions
• Getting started with Snowflake Feature Store