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Rapida Voice AI Assistant is a key component of the Voice AI platform that lets you deploy voice AI solutions across multiple channels. This overview helps you implement conversational experiences that enhance customer engagement.

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Key Capabilities

Rapida Voice AI Assistant combines advanced AI technologies to deliver powerful conversational experiences:
  • Natural Language Understanding: Process and understand complex user queries with context awareness
  • Multi-turn Conversations: Maintain context across conversation turns for natural dialogue flow
  • Knowledge Base Integration: Connect to your existing knowledge sources for accurate, up-to-date responses
  • Intent Recognition: Identify user intents to provide relevant and targeted responses
  • Multilingual Support: Communicate with users in their preferred language

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Deployment Channels

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1. Phone Call

Deploy your assistant for voice interactions via phone:
  • Natural Language Processing: Enable your phone system to understand and respond to caller queries in real-time
  • Voice Recognition: Accurately transcribe and interpret spoken words for enhanced interaction
  • Call Routing: Intelligently direct calls based on context and user intent
  • 24/7 Availability: Provide round-the-clock customer support without human intervention
To deploy phone call capabilities, you’ll need to configure your Telephony provider credentials in the configuration.

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2. Web Widget

Enhance your website with AI-powered voice conversations:
  • Easy Integration: Simple embed code to add voice capabilities to any web page
  • Customizable Appearance: Match the widget’s look and feel to your brand
  • Intelligent Responses: Provide instant answers to customer queries, text or voice
  • Handoff to Human: Seamlessly transfer complex conversations to live agents when needed
  • Multi-platform Support: Works across desktop and mobile browsers
Deploying the web widget is as simple as copying and pasting a code snippet into your website’s HTML.

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3. API/SDK

For developers looking to integrate Rapida’s AI capabilities into their own applications: Detailed API documentation and SDK examples are available in the developer portal.

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4. Debugger

Test and refine your assistant before production deployment:
  • Real-time Testing: Interact with your assistant in a controlled environment
  • Conversation Analysis: Review conversation logs to identify areas for improvement
  • Performance Metrics: Measure response time, accuracy, and other key metrics
  • Iterative Development: Quickly implement and test changes to your assistant
Rapida’s intuitive dashboard makes managing all these deployments from a single interface easy, allowing you to provide a consistent AI-powered experience across all customer touchpoints. For detailed deployment instructions for each channel, please refer to the respective sections in this documentation.