How Redis Search Powers Millions of Searches in Context7
Blog post from Upstash
Context7 utilizes Upstash Redis Search to enable developers and AI agents to instantly find documentation for any library, leveraging its capability to handle millions of searches monthly. Libraries in Context7 are stored as JSON documents in Redis, indexed by library keys to ensure efficient searching, with over 110,000 libraries indexed as of now. Redis Search employs various techniques such as weights, stemming, prefix matching, and exact matching to optimize search results, while policies and filters allow users to customize and refine search outcomes based on specific criteria like verification, popularity, and trust scores. The search system is designed for global low latency by utilizing read replicas in different regions, and it offers two modes: a default mode for enhanced search result quality and a fast mode for quicker response times. Users familiar with Upstash Redis can readily adopt Redis Search, which has been rigorously tested within Context7, offering a robust solution for applications requiring rapid search capabilities.