ElevenLabs Speech Engine integrates with Pipecat
ElevenLabs has integrated its Speech Engine with Pipecat, allowing developers to use Pipecat pipelines for LLM orchestration, reasoning, and RAG. In this setup, Speech Engine handles low-latency audio processing and turn-taking while Pipecat manages the internal text generation flow.
Offloading cognitive pipeline construction to Pipecat while keeping the latency-critical audio processing inside ElevenLabs is a highly pragmatic division of labor for conversational AI.
* Decoupled Architecture: ElevenLabs manages the difficult parts of voice interaction—such as low-latency turn-taking and speech synthesis—while developers use Pipecat for complex text generation chains.
* Modular Pipeline Features: Pipecat's composable processors make it easy to integrate retrieval-augmented generation (RAG), guardrails, and function calling into real-time voice loops.
* Standard Python Integration: The integration is built directly into ElevenLabs' Python SDK, making it straightforward to implement in standard backend applications.
DISCOVERED
2h ago
2026-07-01
PUBLISHED
2h ago
2026-07-01
RELEVANCE
AUTHOR
ElevenLabsDevs