AI agent to chat with you Search Console data, using OpenAI and Postgres

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Important notice

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

1. Workflow Overview

Edit 19/11/2024 : As explained on the workflow, the AI Agent with the original system prompt was not effective when using . To address this, I optimized the prompt to work better with this model. Y...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.memorypostgreschat, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.set, n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.respondtowebhook, @n8n/n8n-nodes-langchain.toolworkflow, n8n-nodes-base.executeworkflowtrigger

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI agent to chat with you Search Console data, using OpenAI and Postgres
Workflow name: AI agent to chat with you Search Console data, using OpenAI and Postgres

Edit 19/11/2024: As explained on the workflow, the AI Agent with the original system prompt was not effective when using gpt4-o-mini.

To address this, I optimized the prompt to work better with this model. You can find the prompts I’ve tested on this Notion Page. And yes, there is one that works well with gpt4-o-mini.

AI Agent to chat with you Search Console Data, using OpenAI and Postgres

This AI Agent enables you to interact with your Search Console data through a chat interface. Each node is documented within the template, providing sufficient information for setup and usage. You will also need to configure Search Console OAuth credentials.

Follow this n8n documentation to set up the OAuth credentials.

Important Notes

Correctly Configure Scopes for Search Console API Calls

It’s essential to configure the scopes correctly in your Google Search Console API OAuth2 credentials. Incorrect configuration can cause issues with the refresh token, requiring frequent reconnections. Below is the configuration I use to avoid constant re-authentication:

Of course, you'll need to add your client_id and client_secret from the Google Cloud Platform app you created to access your Search Console data.

Configure Authentication for the Webhook

Since the webhook will be publicly accessible, don’t forget to set up authentication. I’ve used Basic Auth, but feel free to choose the method that best meets your security requirements.

🤩💖 Example of awesome things you can do with this AI Agent

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 - Postgres Chat Memory

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

Block 2 - OpenAI Chat Model

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

Block 3 - Set fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 4 - Sticky Note

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

Block 5 - Webhook - ChatInput

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

Block 6 - Sticky Note1

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

Block 7 - Respond to Webhook

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

Block 8 - Sticky Note2

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

Block 9 - Call Search Console Tool

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

Block 10 - Sticky Note3

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

Block 11 - Sticky Note4

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

Block 12 - Sticky Note6

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

Block 13 - Sticky Note5

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

Block 14 - Sticky Note7

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

Block 15 - Tool calling

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

Block 16 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 17 - Set fields - Consruct API CALL

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 18 - Sticky Note8

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

Block 19 - Set fields - Create searchConsoleDataArray

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 20 - Set fields - Create searchConsoleDataArray 2

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 21 - Search Console - Get Custom Insights

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

Block 22 - Sticky Note9

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

Block 23 - Sticky Note10

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

Block 24 - ## Search Console - Get List of Properties

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

Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	AI agent to chat with you Search Console data, using OpenAI and Postgres
Complexity	advanced
Nodes	30
Categories	Internal Wiki, AI Chatbot
Author	Dataki
Published	13 Nov 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2541/2541.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 Chatbot workflows

Frequently asked questions

What does AI agent to chat with you Search Console data, using OpenAI and Postgres 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 Chatbot use case.

Dataki

14 workflows

Nodes

@n8n/n8n-nodes-langchain.memorypostgreschat @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.set n8n-nodes-base.stickynote n8n-nodes-base.webhook n8n-nodes-base.respondtowebhook @n8n/n8n-nodes-langchain.toolworkflow n8n-nodes-base.executeworkflowtrigger

Complexity

advanced

Published 13 Nov 2024

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2541/2541.json

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AI agent to chat with you Search Console data, using OpenAI and Postgres

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI Agent to chat with you Search Console Data, using OpenAI and Postgres

Important Notes

Correctly Configure Scopes for Search Console API Calls

Configure Authentication for the Webhook

🤩💖 Example of awesome things you can do with this AI Agent

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Postgres Chat Memory

Block 2 - OpenAI Chat Model

Block 3 - Set fields

Block 4 - Sticky Note

Block 5 - Webhook - ChatInput

Block 6 - Sticky Note1

Block 7 - Respond to Webhook

Block 8 - Sticky Note2

Block 9 - Call Search Console Tool

Block 10 - Sticky Note3

Block 11 - Sticky Note4

Block 12 - Sticky Note6

Block 13 - Sticky Note5

Block 14 - Sticky Note7

Block 15 - Tool calling

Block 16 - Switch

Block 17 - Set fields - Consruct API CALL

Block 18 - Sticky Note8

Block 19 - Set fields - Create searchConsoleDataArray

Block 20 - Set fields - Create searchConsoleDataArray 2

Block 21 - Search Console - Get Custom Insights

Block 22 - Sticky Note9

Block 23 - Sticky Note10

Block 24 - ## Search Console - Get List of Properties

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