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Create a voice-enabled AI assistant with Groq, SerpAPI and TTS

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

What It Does Build your own AI Chatbot that listens, thinks, searches, and speaks — all inside n8n. This template combines Groq AI, LangChain Agent, SerpAPI, and StreamElements TTS to create a chat...

Best for

  • Support Chatbot automation workflows
  • AI Chatbot automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgroq, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.toolserpapi, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Muhammad Shaheer Awan.

Original n8n.io source

1.1 Workflow description

Title
Create a voice-enabled AI assistant with Groq, SerpAPI and TTS
Workflow name
Create a voice-enabled AI assistant with Groq, SerpAPI and TTS

What It Does

Build your own AI Chatbot that listens, thinks, searches, and speaks — all inside n8n. This template combines Groq AI, LangChain Agent, SerpAPI, and StreamElements TTS to create a chatbot that:

  • Understands natural language input
  • Searches the web for real-time answers
  • Remembers previous messages (context memory)
  • Replies with a realistic AI voice

How It Works

  • Chat Trigger: The workflow activates whenever a new message is received.
  • Groq AI Agent: Processes user input, performs reasoning, and integrates with SerpAPI for live web results.
  • Memory Node: Keeps the chat context for a natural conversation flow.
  • TTS Node: Converts AI responses into realistic voice replies using StreamElements API.

Setup Steps

  • Connect your Groq, SerpAPI, and StreamElements credentials (no coding required).
  • Customize the chatbot behavior directly inside n8n.
  • Deploy instantly and chat via webhook or UI widget.

Use Cases

  • Voice-enabled customer-support bots
  • AI chat widgets for websites
  • Personal assistants that talk and search the web

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When chat message received

Type / Role
@n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices
Version 1.1

Block 2 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.8

Block 3 - Groq Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices
Version 1

Block 4 - Simple Memory

Type / Role
@n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices
Version 1.3

Block 5 - SerpAPI

Type / Role
@n8n/n8n-nodes-langchain.toolSerpApi - toolSerpApi
Config choices
Version 1

Block 6 - StreamElements Text-to-Speech

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 7 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Create a voice-enabled AI assistant with Groq, SerpAPI and TTS
Complexity intermediate
Nodes 8
Categories Support Chatbot, AI Chatbot
Author Muhammad Shaheer Awan
Published 09 Nov 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/10658/10658.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Create a voice-enabled AI assistant with Groq, SerpAPI and TTS do?

What It Does Build your own AI Chatbot that listens, thinks, searches, and speaks — all inside n8n. This template combines Groq AI, LangChain Agent, SerpAPI, and StreamElements TTS to create a chat...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.