Voice RAG Chatbot with ElevenLabs and OpenAI

Voice RAG Chatbot with ElevenLabs automates voice interactions by integrating AI responses with a vector database, enabling users to ask questions and receive spoken answers. This workflow enhances customer engagement and streamlines information retrieval, making it easier for businesses to provide instant support and improve user experience.

7/8/2025
23 nodes
Complex
webhookcomplexlangchainsticky notegoogle driverespondtowebhookadvancedapiintegration
Categories:
Complex WorkflowWebhook Triggered
Integrations:
LangChainSticky NoteGoogle DriveRespondToWebhook

Target Audience

  • Business Owners: Looking to automate customer interactions and improve response times.
    - Developers: Interested in integrating AI capabilities into their applications.
    - Data Scientists: Seeking to leverage vector databases for enhanced data retrieval.
    - Marketers: Aiming to provide personalized customer experiences through voice interactions.
    - Research Teams: Needing efficient ways to extract and communicate information from large datasets.

    • Problem Solved

  • Automates the process of responding to customer inquiries via voice, reducing the need for human intervention.
    - Integrates multiple technologies (LangChain, Google Drive, Qdrant) to streamline data handling and retrieval.
    - Provides a structured approach to managing and utilizing vector databases for quick information access.
    - Enhances user experience by delivering voice responses based on AI-driven insights.

    • Workflow Steps

  • Step 1: Create an agent on ElevenLabs to handle voice interactions, including setting up initial messages and webhook integration.
    - Step 2: Establish a Qdrant Collection for storing and retrieving data, ensuring the correct API URLs are configured.
    - Step 3: Use Google Drive to download necessary documents, which will be vectorized for efficient data retrieval.
    - Step 4: Implement the AI Agent to process incoming questions via webhook, extracting relevant information from the vector store and generating responses using OpenAI models.
    - Step 5: Respond back to ElevenLabs with the generated voice response, completing the interaction cycle.

    • Customization Guide

  • Adjust Webhook Settings: Change the webhook path and parameters to match your specific use case.
    - Modify Agent Configuration: Customize the agent's first message and system prompt to reflect your brand's voice and tone.
    - Update Qdrant Collection: Change the collection name and API URL to align with your data storage needs.
    - Tailor Document Processing: Modify the Google Drive folder ID and file types to control which documents are processed and vectorized.
    - Enhance AI Responses: Fine-tune the AI models and parameters used in the workflow to improve response quality and relevance.