WebAI StudioSemantic Cache
EmbeddingsServe instant answers for paraphrased questions by caching LLM responses under their embeddings.
Why On-Device?
A production pattern made visible: skip re-running the language model when a semantically equivalent question was already answered — saving seconds and tokens.
Interactive Demo
Ask 1 first (generates), then 2 — the paraphrase hits the cache instantly.
Every generated answer is stored here under its question's embedding.
Implementation Code
Keep exploring
56 demos, all running on-device.
Moderation Cascade
The production pattern for cheap moderation: embeddings clear the obvious 90% in microseconds, the LLM judges only the borderline.
Chat With Your Document
Fully local RAG: retrieve the relevant passages with embeddings, then answer with the Prompt API — citations included.
Semantic vs. Keyword Search
Search a help center by meaning, side by side with keyword search — and watch keywords miss what embeddings find.