Can I import a sanitized export without credentials?

Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own memoryPostgresChat and lmChatOpenAi credentials in n8n after import.

← Workflows

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

30 nodes · memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow

Engine: n8n
Nodes: 30
Trigger: scheduled/triggered
Source file: 1252_Webhook_Respondtowebhook_Automation_Webhook.json

Workflow flow

IntegrationsMemoryPostgresChatLmChatOpenAiWebhookRespondToWebhookToolWorkflowExecuteWorkflowSwitchHTTPAggregateAgent@n8n/n8n-nodes-langchain.memoryPostgresChat@n8n/n8n-nodes-langchain.lmChatOpenAi+3 more

100%

Postgres Chat Memory

@n8n/n8n-nodes-langchain.memoryPostgresChat

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

Webhook - ChatInput

Webhook

Call Search Console Tool

@n8n/n8n-nodes-langchain.toolWorkflow

TRIGGER

Tool calling

ExecuteWorkflow

Set fields

Set

Set fields - Consruct API CALL

Set

Switch

AI Agent

@n8n/n8n-nodes-langchain.agent

Respond to Webhook

RespondToWebhook

Search Console - Get Custom Insights

HTTP

## Search Console - Get List of Properties

HTTP

Set fields - Create searchConsoleDataArray

Set

Set fields - Create searchConsoleDataArray 2

Set

Array aggregation - response to AI Agent

Aggregate

Array aggregation - response to AI Agent1

Aggregate

16 steps · flows top to bottom, branches left to right

Browse by integration

memoryPostgresChat lmChatOpenAi webhook respondToWebhook toolWorkflow executeWorkflow switch httpRequest aggregate agent

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Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: AI Agent to chat with you Search Console Data, using OpenAI and Postgres. 30 nodes across memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow, switch, httpRequest, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" chains 30 nodes to move data between memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow, switch, httpRequest. 30 nodes · memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow Execution begins at the scheduled/triggered trigger and flows through the 30 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Fork it to add error handling, retries, or a notification step without designing the 30-node flow from scratch.
Benchmark it against your current memoryPostgresChat integration to spot missing steps or redundant nodes.
Study how data moves from memoryPostgresChat to lmChatOpenAi before building your own variant.
Share it with your team as a documented reference for scheduled/triggered automations in the memoryPostgresChat stack.

Example output

Imported into n8n, "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" exposes 30 configured nodes. Trigger type: scheduled/triggered. Integrations: memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow, switch, httpRequest. Set your credentials on the memoryPostgresChat node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" JSON into a plain-English runbook, node by node. It can flag where memoryPostgresChat rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow, switch, httpRequest. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" — extract memoryPostgresChat IDs and secrets into environment variables without changing the 30-node structure.

Frequently asked questions

How do I import "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" into n8n?: Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" use?: It uses: memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow, switch, httpRequest. The flow diagram above shows how each service connects across the 30 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?: Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own memoryPostgresChat and lmChatOpenAi credentials in n8n after import.
What trigger type does "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" use?: Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "AI Agent to chat with you Search Console Data, using OpenAI and Postgres" free to use?: OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for memoryPostgresChat, lmChatOpenAi, webhook, respondToWebhook, toolWorkflow, executeWorkflow, switch, httpRequest.