Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Redis + AI: Building a Vector Database with Redis

via LinkedIn Learning

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
This course shows developers how to exploit ready-made AI-related tools in Redis.

Syllabus

Introduction
  • Introduction
  • What you should know
1. Understanding Data
  • What is structured data and where does it come from?
  • What is unstructured data and where does it come from?
  • Using structured data
  • Using unstructured data: Use case examples
  • Which is better? Structured vs. unstructured data
  • Unstructured to structured data
  • Practical example: Metadata
2. AI-Optimized Databases
  • What are AI-optimized databases?
  • What are vector databases?
  • What are embeddings?
  • How do vector databases work?
  • Examples of use cases for vector databases
3. Enter Redis
  • Quick introduction of RediSearch and how to get it
  • Redis used as a vector database
  • Using Redis as a recommendation engine: Architecture overview
  • Using Redis as a documentation retrieval database: Architecture review
4. Building an Image Similarity Search
  • Introduction to the project to solve
  • Architecture review: Using Redis as a vector database
  • Tech stack overview
  • Implementation overview: A deep dive into the main aspects of the implementation
5. Building a Semantic Search Example
  • Introduction to the project to solve
  • Architecture review: Using Redis as a vector database
  • Tech stack overview
  • Implementation video
Conclusion
  • Next steps

Taught by

Fernando Doglio

Reviews

Start your review of Redis + AI: Building a Vector Database with Redis

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.