Voiceflow
Creation of AI Customer Service Agents
System for design, development and implementation of chat or voice conversational agents for customer service. Enables knowledge base construction, customized workflows and integration with external APIs. Compatible with multiple LLM models and available for deployment on web interfaces or telephony.
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What is Voiceflow?
Voiceflow is a platform for designing, developing, and implementing conversational artificial intelligence agents. The system enables the creation of agents for text chat and voice communication that can automate customer interactions and execute structured tasks.
The platform includes a workflow builder to define conversational processes, a vector knowledge base to train agents with custom data, and tools for integration with external services through APIs. It supports agent deployment via web chat interfaces or through dialog APIs for custom integrations.
Voiceflow's technical capabilities include compatibility with multiple language models, content management for reusable elements, real-time testing environment, and options for development with custom code. The platform offers access control with SSO authentication and permission management for collaborative work.
The system is structured into four main components: Workflow Builder for visual agent design, Knowledge Base for training with proprietary data, Development Kit for custom integrations, and Content Manager for resource organization.
Voiceflow's technical architecture is designed to work with different AI model providers and allows segmenting vector databases to handle multiple information sources.
The platform includes a workflow builder to define conversational processes, a vector knowledge base to train agents with custom data, and tools for integration with external services through APIs. It supports agent deployment via web chat interfaces or through dialog APIs for custom integrations.
Voiceflow's technical capabilities include compatibility with multiple language models, content management for reusable elements, real-time testing environment, and options for development with custom code. The platform offers access control with SSO authentication and permission management for collaborative work.
The system is structured into four main components: Workflow Builder for visual agent design, Knowledge Base for training with proprietary data, Development Kit for custom integrations, and Content Manager for resource organization.
Voiceflow's technical architecture is designed to work with different AI model providers and allows segmenting vector databases to handle multiple information sources.