Your API cache is secretly a database

Caching is often used as a quick fix for slow APIs, but its potential is typically underutilized, as it is commonly viewed as a simple speed enhancement rather than a versatile data management tool. In Harper, caching is reimagined as an integral part of the data layer, where cached data is stored in a table within the database, making it possible to perform queries, reshaping, joining, and streaming directly on the cached data without returning to the origin API. This approach allows for advanced functionalities like semantic search and real-time updates, turning a straightforward caching mechanism into a comprehensive data layer with minimal additional code or infrastructure changes. The model supports various operations, such as filtering, sorting, and reshaping cached data, while also enabling semantic search using vector embeddings, thus transforming the cache into a robust, queryable, and dynamic component of the data architecture.

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