Dive into a comprehensive 59-minute crash course on Redis for Artificial Intelligence and Machine Learning. Learn the fundamentals of key-value stores, compare Redis to SQL databases, and explore essential machine learning concepts and use cases enabled by Redis. Discover various data types and structures storable in Redis, understand key database considerations for deploying real-time AI/ML at scale, and explore Redis as an online feature store and vector database for embeddings and neural search. Through demonstrations and in-depth explanations, gain practical knowledge on leveraging Redis for caching, messaging, fast data ingestion, vector similarity search, and online feature stores in AI/ML applications.
Redis Crash Course for Artificial Intelligence and Machine Learning
Overview
Syllabus
Introduction
Setting up the context: hottest trends in AI/ML, defining real-time AI/ML, overview of Redis in AI/ML
Key concepts: No SQL, key-value store, disk vs in-memory databases, data types & structures
Demo
Operational aspect of deploying real-time AI/ML
Redis as infra for online feature stores
Intro to RediSearch: SQL queries for NoSQL
Redis as vector database for neural search
Summary
Taught by
Data Science Dojo
