AI agent to chat with you Search Console data, using OpenAI and Postgres
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 16 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects Postgres Chat Memory and OpenAI Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).
- Set fields (Edit Fields (Set)): sets 3 fields: chatInput, sessionId, date_message
- Set fields - Consruct API CALL (Edit Fields (Set)): sets 7 fields: request_type, start_date, end_date…
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Call Search Console Tool); memory: Postgres Chat Memory
- Switch: routes items into 2 branches
- Respond to Webhook: sends the response back to the webhook caller
- Search Console - Get Custom Insights (HTTP Request): calls an HTTP API (POST)
- ## Search Console - Get List of Properties (HTTP Request): calls an HTTP API
- Set fields - Create searchConsoleDataArray (Edit Fields (Set)): sets 1 field: searchConsoleData
- Set fields - Create searchConsoleDataArray (Edit Fields (Set)): sets 1 field: searchConsoleData
- Array aggregation - response to AI Agent (Aggregate): combines items into one
…plus 1 more step. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (11)
- Postgres Chat Memory
@n8n/n8n-nodes-langchain.memoryPostgresChat - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Edit Fields (Set)
n8n-nodes-base.set - Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Switch
n8n-nodes-base.switch - HTTP Request
n8n-nodes-base.httpRequest - Aggregate
n8n-nodes-base.aggregate - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
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…