Explore 7 AI terms in Data Storage
An embedding cache stores precomputed representations of data for efficient retrieval in AI applications.
A key-value cache stores data as pairs of unique keys and corresponding values for quick retrieval.
KV Cache is a data storage system that uses key-value pairs to speed up data retrieval in applications, especially in AI models.
Packed Data refers to compressed data structures that optimize storage and access efficiency.
A persistent cache stores data across sessions to improve access speed and efficiency.
Quota Management is the process of allocating and regulating resource limits to optimize performance and ensure fair usage.
Supabase Vector is a feature of Supabase that enables efficient storage and querying of vector data for AI applications.