Voice-Enabled FAQ Chatbot with AI, Qdrant, and ElevenLabs

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This n8n workflow creates an intelligent voice chatbot integrated with ElevenLabs and OpenAI, capable of answering questions by retrieving relevant data from a vector database. It is designed for businesses wanting a voice-interactive FAQ or customer support system.

The workflow begins with setting up an ElevenLabs agent, which is configured to handle voice interactions. When a user submits a voice question through a webhook, the system captures and processes the query. Files containing relevant information are retrieved from Google Drive, converted into text, and split into manageable chunks. These chunks are embedded into vectors using OpenAI’s embeddings and stored in a Qdrant vector database.

When a question is posed, the AI agent searches the vector database for the most relevant information, constructs a response using OpenAI’s language models, and then sends the reply back via ElevenLabs, converting it into speech for the user. The process includes managing collections in Qdrant, data ingestion, and real-time querying, making it practical for creating voice-activated customer support or FAQ bots.

This workflow is ideal for deploying an interactive voice assistant for websites, enhancing user engagement through natural language and voice responses, especially for customer services in hospitality, retail, or online services.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterTokenSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreQdrant, googleDrive, httpRequest, manualTrigger, respondToWebhook, stickyNote, webhook

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