WebAI StudioFully local RAG: retrieve the relevant passages with embeddings, then answer with the Prompt API — citations included.
The entire RAG pipeline — chunking, embedding, retrieval, and generation — runs on-device. Your document is never uploaded and no vector database is required.
56 demos, all running on-device.
Group raw user feedback into themes with k-means over embeddings, then let the Prompt API name each cluster.
One input, every API: whatever you paste is intent-routed to the right tool — translate, summarize, proofread, rewrite, or answer.
Drop in your photos, and search them by meaning — "food on a table", "someone smiling" — without one pixel leaving your device.