AI voice chat using webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs

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Important notice

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

1. Workflow Overview

Who is this for? This workflow is designed for businesses or developers looking to integrate voice based chat applications with dynamic responses and conversational memory. What problem does this s...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.memorymanager, n8n-nodes-base.stickynote, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.respondtowebhook, n8n-nodes-base.httprequest, n8n-nodes-base.limit

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI voice chat using webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs
Workflow name: AI voice chat using webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs

Who is this for?

This workflow is designed for businesses or developers looking to integrate voice-based chat applications with dynamic responses and conversational memory.

What problem does this solve?

It automates AI-powered voice conversations, maintaining context between sessions and converting speech-to-text and text-to-speech.

What this workflow does:

The workflow receives audio input, transcribes it using OpenAI, and processes the conversation using Google Gemini Chat Model (you can use OpenAI Chat Model). Responses are converted back to speech using ElevenLabs.

Prerequisites:

You'll need API keys for:

OpenAI (you can obtain it from OpenAI website)
ElevenLabs (you can obtain it from their website)
Google Gemini (You can obtain it from Google AI Studio)

Setup:

Configure you API keys
Ensure that the value (voice_message) in the "Path" parameter in the Webhook node is used as the name of the parameter that will contain the voice message you are sending via the HTTP Post request.

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 - Get Chat

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

Block 2 - Insert Chat

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

Block 3 - Sticky Note5

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

Block 4 - Sticky Note

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

Block 5 - Aggregate

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

Block 6 - Window Buffer Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.2

Block 7 - Google Gemini Chat Model

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

Block 8 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 9 - ElevenLabs - Generate Audio

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

Block 10 - Sticky Note2

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

Block 11 - Sticky Note1

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

Block 12 - Limit

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

Block 13 - Basic LLM Chain

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.4

Block 14 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 15 - OpenAI - Speech to Text

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

3. Summary Table

Workflow	AI voice chat using webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs
Complexity	advanced
Nodes	15
Categories	Support Chatbot, AI Chatbot
Author	Ayoub
Published	07 Sept 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2405/2405.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does AI voice chat using webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs do?

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.

Ayoub

2 workflows

Nodes

@n8n/n8n-nodes-langchain.memorymanager n8n-nodes-base.stickynote n8n-nodes-base.aggregate @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.respondtowebhook n8n-nodes-base.httprequest n8n-nodes-base.limit

Complexity

advanced

Published 07 Sept 2024

Likes 0

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Install path: /data/workflows/2405/2405.json

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AI voice chat using webhook, Memory Manager, OpenAI, Google Gemini & ElevenLabs

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who is this for?

What problem does this solve?

What this workflow does:

Prerequisites:

Setup:

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Get Chat

Block 2 - Insert Chat

Block 3 - Sticky Note5

Block 4 - Sticky Note

Block 5 - Aggregate

Block 6 - Window Buffer Memory

Block 7 - Google Gemini Chat Model

Block 8 - Respond to Webhook

Block 9 - ElevenLabs - Generate Audio

Block 10 - Sticky Note2

Block 11 - Sticky Note1

Block 12 - Limit

Block 13 - Basic LLM Chain

Block 14 - Webhook

Block 15 - OpenAI - Speech to Text

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions