Realtime Conversational Video with Pipecat and Tavus
summary
Tavus demonstrates a realtime conversational video pipeline that produces synchronized avatar audio+video with ~600 ms response for baseline interactions, built on Pipecat’s open-source orchestration and Daily’s global WebRTC transport. Pipecat runs media as frames processors pipelines, supporting streaming STT, LLM token frames, parallel branches (voicemail vs human) and low-latency output. Tavus adds proprietary models (Sparrow Zero and Raven Zero), plus multilingual turn detection and response-timing and multimodal perception; deployment options include self‑hosted pipelines or Pipecat Cloud.
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chapters (8)
- 0:00Introduction to real-time AI
- 1:02Understanding model pipelines
- 1:44Tavus conversational interface
- 3:40The role of Pipecat
- 6:01Pipecat architecture
- 9:35Pipeline demonstration
- 13:59Advancing conversation models
- 17:10Deployment and infrastructure
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