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Moss is the runtime for real-time semantic search in conversational apps. It delivers sub-10 ms lookups and instant index updates without extra infrastructure. It runs in the browser, on-device, or in the cloud—wherever your agent lives—so search feels native. Connect your data once; Moss packages, distributes, and keeps indexes fresh.
  • Sub-10 ms lookups with instant updates
  • No infra to run; local-first with optional sync
  • Browser, device, or cloud—same API

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Where Moss shines

  • Sub-10 ms answers for docs/FAQ/search
  • Ground agents with your data without centralizing user info
  • Local or hybrid embeddings; minimal infra

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Using Moss Portal

  • Sign up at Moss, confirm email, and sign in
  • From the portal, click Create Index and copy your Project ID and Project Key for your SDK
  • Join our Discord to get onboarded: Moss Discord
Moss Portal walkthrough

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Samples

  • View samples repo: moss-samples on GitHub
  • JavaScript: javascript/comprehensive_sample.ts, javascript/load_and_query_sample.ts
  • Python: python/comprehensive_sample.py, python/load_and_query_sample.py
  • Adapt by swapping the FAQ data with your own, or plug Moss calls into your app

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How it works (at a glance)

  • Index: Convert your data into an efficient local index
  • Embeddings: Generate semantic vectors locally or via a remote service
  • Retrieval: Query with semantic similarity or hybrid approaches
  • Storage: Persist indexes locally and optionally sync to cloud

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Next steps