Voice Enabled Support Chatbot with ElevenLabs

Overview

Uses ElevenLabs voice + Infranodus knowledge graphs to deliver expert-level audio responses. Fluid Design sets this up for complex verbal help experiences.

Features

ElevenLabs voice, Infranodus graph, voice responses

Who Its For

Support engineers, knowledge-based support

Workflow Diagram

image of tech solutions demonstration (for a hr tech)

How It Works

This workflow uses an AI agent to orchestrate the entire conversation. The agent determines which knowledge source (expert graph) to use based on the user's spoken question and then generates a personalized answer.

Step-by-Step Process:

  1. Voice Input
    The user asks a question through a voice interface powered by ElevenLabs.
  2. Prompt Delivery
    The question is forwarded via a webhook, including a session ID to maintain conversation history and context.
  3. Agent Decision-Making
    The AI agent receives the prompt and evaluates which knowledge tool or "expert" is best suited to answer. Each expert is backed by a unique knowledge graph and described using metadata generated by InfraNodus.
  4. Prompt Optimization
    The agent may refine or rephrase the question to better align with the selected expert’s format.
  5. Knowledge Graph Query
    The updated query is sent to the chosen GraphRAG-powered knowledge source, which analyzes the graph and extracts relevant insights.
  6. Expert Response
    The expert provides a rich, context-aware answer, along with supporting statements retrieved using a combination of Retrieval-Augmented Generation (RAG) and GraphRAG methods.
  7. Answer Synthesis
    The AI agent collects responses from the experts and composes a final, cohesive answer.
  8. Voice Output
    The completed response is sent back to the webhook. ElevenLabs receives it, transforms the text into a natural-sounding voice reply, and delivers it back to the user in conversation.
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