Mossaic: Ask your research out loud
Voice-first recall built on Moss. Product teams ask questions through a browser voice agent. Researchers ingest findings through Slack. One shared index answers both.
Mossaic
Mossaic is a reference implementation for voice interfaces on Moss, the in-process semantic search engine. It ships two surfaces that share one index: a browser-based WebRTC voice agent for product teams, and a Slack bot for researchers to upload findings.
A document ingested via Slack is answerable by voice within seconds, with no redeployment. Retrieval is grounded in source documents and returns citations alongside answers. The system handles rate limiting, session logging to Neon Postgres, and sops-encrypted secrets.
The demo corpus is a fictional business-spend product called Outlay: interviews, survey results, personas, customer success notes, and quarterly reports. It gives the voice agent a coherent dataset to reason over and makes the retrieval behavior concrete.
Key Integrations
Architecture
Two trust surfaces, one shared Moss index. No data duplication, no redeployment required when documents change.