Part 2: Data Modeling

Redis Stack extends the capabilities of Redis, allowing for real-time queries and searches on Hashes and JSON types. It encompasses a variety of functionalities, including full-text search, tagging, aggregation, and notably, vector search, which is ideal for recommendation engines.

The focus is on data modeling techniques within Redis Stack, particularly the application of vector search. As a multi-model, real-time data server, Redis Stack efficiently manages time-series data, where each point can be augmented with metadata labels, facilitating advanced filtering, searching, and aggregation.

Another significant aspect of Redis Stack is its incorporation of probabilistic data structures. These structures provide fast, approximate answers using minimal time and memory, and are well-suited for queries such as verifying user locations, identifying top players in games, or tracking unique user activities. The content in this part aims to convey the advanced features...