Redis + AI: Building a Vector Database with Redis
Offered By: LinkedIn Learning
Course Description
Overview
This course shows developers how to exploit ready-made AI-related tools in Redis.
Syllabus
Introduction
- Introduction
- What you should know
- 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
- What are AI-optimized databases?
- What are vector databases?
- What are embeddings?
- How do vector databases work?
- Examples of use cases for vector databases
- 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
- 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
- Introduction to the project to solve
- Architecture review: Using Redis as a vector database
- Tech stack overview
- Implementation video
- Next steps
Taught by
Fernando Doglio
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