Block 1 - When chat message received
- Type / Role
- @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Enhance your data analysis by connecting an AI Agent to your dataset, using n8n tools. This template teaches you how to build an AI Data Analyst Chatbot that is capable of pulling data from your so...
@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.toolcalculator, n8n-nodes-base.code, n8n-nodes-base.executeworkflowtrigger, @n8n/n8n-nodes-langchain.toolworkflow, n8n-nodes-base.aggregate
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Solomon.
Original n8n.io sourceEnhance your data analysis by connecting an AI Agent to your dataset, using n8n tools.
This template teaches you how to build an AI Data Analyst Chatbot that is capable of pulling data from your sources, using tools like Google Sheets or databases. It's designed to be easy and efficient, making it a good starting point for AI-driven data analysis.
You can easily replace the current Google Sheets tools for databases like Postgres or MySQL.
The core of the workflow is the AI Agent. It's connected to different data retrieval tools, to get data from Google Sheets (or your preferred database) in many different ways.
Once the data is retrieved, the Calculator tool allows the AI to perform mathematical operations, making your data analysis precise.
You can find detailed instructions in the workflow itself.
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.
Showing the first 24 of 31 workflow blocks. Download the JSON for the full node graph.
| Workflow | Build your first AI data analyst chatbot |
|---|---|
| Complexity | advanced |
| Nodes | 31 |
| Categories | Internal Wiki, AI Chatbot |
| Author | Solomon |
| Published | 01 Mar 2025 |
Use the JSON export at /data/workflows/3050/3050.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
Enhance your data analysis by connecting an AI Agent to your dataset, using n8n tools. This template teaches you how to build an AI Data Analyst Chatbot that is capable of pulling data from your so...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.