Voice AI Chatbot with Graph RAG Experts

You are helping me build the following AI agent workflow.

## Goal
Voice AI Chatbot with Graph RAG Experts: A voice chatbot that routes spoken questions to specialized InfraNodus knowledge graphs and returns synthesized audio answers.

## Specification
- What it does: You ask spoken questions to get instant audio answers tailored to your needs. The chatbot routes your query to specialized knowledge graphs, retrieves precise information, and delivers a synthesized voice response without requiring you to type or search manually.
- Trigger: Triggered by an event (Event · on user voice input)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - n8n: Workflow orchestration and webhook handling
  - ElevenLabs: Voice interaction and text to speech
  - InfraNodus: Graph RAG knowledge base queries
  - OpenAI Chat Model: LLM reasoning and orchestration

## Known pitfalls, handle each one explicitly in your implementation
1. Voice latency can degrade user experience so optimize the pipeline by processing text synthesis in parallel where possible or using streaming endpoints.
2. Graph RAG results may be too verbose for speech so add a summarization step to keep responses concise and natural sounding.
3. InfraNodus graph structures vary by expert so implement fallback logic to handle queries that do not match any specific domain graph.

## Reference implementation
https://n8n.io/workflows/4484 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/voice-ai-chatbot-with-graph-rag-experts/ via usecasesforagents.com