This article demonstrates how to use Redis's data structures and search capabilities to build a web knowledge base platform with basic functionality. The project uses Redis database plus two Redis modules, RediSearch and RedisTimeSeries, for document indexation and search, and analytics, respectively. Key features of the knowledge base include real-time full-text search, tag-based search, personalized recommendations using vector similarity search (VSS), user authentication with Okta, bookmarking documents, and monitoring activity using RedisTimeSeries capability. The source code is available in a GitHub repository under the MIT license for demonstrative purposes and can be cloned or forked to better understand the search and indexing features discussed in this article.