Embedding Cache
An embedding cache stores previously computed vector representations so search, retrieval, or recommendation systems can avoid repeated computation.
Category
These ideas describe infrastructure that routes model calls, speeds up repeated work, and protects sensitive computation.
Compute and data terms used to serve AI models reliably.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
An embedding cache stores previously computed vector representations so search, retrieval, or recommendation systems can avoid repeated computation.
A model gateway is infrastructure that routes AI requests, applies policies, tracks usage, and can switch between model providers or deployments.
An inference endpoint is a hosted API or service address where applications send inputs and receive model outputs.
A secure enclave is an isolated computing environment designed to protect sensitive code or data while it is being processed.