AI prompt hub (Notion + ChatGPT): auto-find the right prompt with embeddings

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Important notice

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

1. Workflow Overview

Build your own AI Prompt Hub inside n8n. This template lets ChatGPT automatically search your saved prompts in Notion using semantic embeddings from HuggingFace. Each time a user sends a message, t...

Best for

Internal Wiki automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.webhook, n8n-nodes-base.notion, n8n-nodes-base.httprequest, n8n-nodes-base.code

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI prompt hub (Notion + ChatGPT): auto-find the right prompt with embeddings
Workflow name: AI prompt hub (Notion + ChatGPT): auto-find the right prompt with embeddings

Overview

Build your own AI Prompt Hub inside n8n.
This template lets ChatGPT automatically search your saved prompts in Notion using semantic embeddings from HuggingFace. Each time a user sends a message, the workflow finds the most relevant prompt based on meaning - not keywords.

Perfect for developers who maintain dozens of prompts and want ChatGPT to pick the right one automatically.

Key Features

🔍 Semantic Prompt Search - Finds the best prompt using HuggingFace embeddings
🧠 AI Agent Integration - ChatGPT automatically calls the prompt-search workflow
📚 Notion Prompt Database - Store unlimited prompts with auto-generated embeddings
⚡ Automatic Embedding Sync - Regenerates vectors when prompts change

This template is ideal for:

AI automations
Prompt engineering
DevOps and backend engineers who reuse prompts
Teams managing large prompt libraries

How it works

The user sends any message to the ChatGPT interface
The n8n AI Agent calls a sub-workflow that performs semantic search in Notion
HuggingFace converts both the message and saved prompts into vector embeddings
The workflow returns the most similar prompt, which ChatGPT can use automatically

Setup Instructions (15–20 minutes)

Import this template into your n8n instance
Set credentials for Notion, OpenAI, and HuggingFace
Create a Notion database with:
- Prompt (Text)
- Embeddings (Text)
- Checksum (Text)
Paste your Notion database ID in:
- “Get All Prompts”
- “On Page Update”
- “On Page Create”
- “Get All Prompts for Search”
Enable the workflow and open the URL from “When chat message received” to start chatting
Type any request - the system will search for a matching prompt automatically

Documentation & Demo

Full documentation and examples:
https://github.com/YahorDubrouski/ai-planner/blob/main/documentation/prompt-hub/README.md

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 2.1

Block 3 - OpenAI Chat Model

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

Block 4 - Simple Memory

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

Block 5 - Embeddings - Sync All

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

Block 6 - Get All Prompts

Type / Role: n8n-nodes-base.notion - notion
Config choices: Version 2.2

Block 7 - Get Embeddings

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

Block 8 - Prepare Update Body

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

Block 9 - On Page Update

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

Block 10 - On Page Create

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

Block 11 - Get Question Embeddings

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

Block 12 - Get All Prompts for search

Type / Role: n8n-nodes-base.notion - notion
Config choices: Version 2.2

Block 13 - Find a prompt

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

Block 14 - Search a Prompt

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 2.2

Block 15 - Generate Checksum

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

Block 16 - If Embeddings Update Needed

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 17 - Save Embeddings + Checksum

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

Block 18 - Sticky Note1

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

Block 19 - Search Entrypoint

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

Block 20 - Sticky Note2

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

Block 21 - Sticky Note3

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

Block 22 - Sticky Note

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

3. Summary Table

Workflow	AI prompt hub (Notion + ChatGPT): auto-find the right prompt with embeddings
Complexity	advanced
Nodes	22
Categories	Internal Wiki, AI RAG
Author	Yahor Dubrouski
Published	24 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/11194/11194.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 Internal Wiki workflows AI RAG workflows

Frequently asked questions

What does AI prompt hub (Notion + ChatGPT): auto-find the right prompt with embeddings 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 Internal Wiki, AI RAG use case.

Yahor Dubrouski

2 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.webhook n8n-nodes-base.notion n8n-nodes-base.httprequest n8n-nodes-base.code

Complexity

advanced

Published 24 Nov 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/11194/11194.json

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AI prompt hub (Notion + ChatGPT): auto-find the right prompt with embeddings

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Overview

Key Features

How it works

Setup Instructions (15–20 minutes)

Documentation & Demo

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - AI Agent

Block 3 - OpenAI Chat Model

Block 4 - Simple Memory

Block 5 - Embeddings - Sync All

Block 6 - Get All Prompts

Block 7 - Get Embeddings

Block 8 - Prepare Update Body

Block 9 - On Page Update

Block 10 - On Page Create

Block 11 - Get Question Embeddings

Block 12 - Get All Prompts for search

Block 13 - Find a prompt

Block 14 - Search a Prompt

Block 15 - Generate Checksum

Block 16 - If Embeddings Update Needed

Block 17 - Save Embeddings + Checksum

Block 18 - Sticky Note1

Block 19 - Search Entrypoint

Block 20 - Sticky Note2

Block 21 - Sticky Note3

Block 22 - Sticky Note

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