Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Check Legal Regulations : This workflow involves scraping, so ensure you comply with the legal regulations in your country before getting started. Better safe than sorry! Purpose This workflow e...
@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.scheduletrigger, n8n-nodes-base.rssfeedread, @n8n/n8n-nodes-langchain.textclassifier, n8n-nodes-base.stickynote, n8n-nodes-base.googlesheets, n8n-nodes-base.slack
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dataki.
Original n8n.io sourceCheck Legal Regulations: This workflow involves scraping, so ensure you comply with the legal regulations in your country before getting started. Better safe than sorry!
This workflow enables automated and AI-driven topic monitoring, delivering concise article summaries directly to a Slack channel in a structured and easy-to-read format.
It allows users to stay informed on specific topics of interest effortlessly, without manually checking multiple sources, ensuring a time-efficient and focused monitoring experience.
To get started, copy the Google Sheets template required for this workflow from here.
This workflow is designed for:
This workflow provides an efficient and intelligent way to stay informed about your topics of interest, directly within Slack.
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 | AI-powered information monitoring with OpenAI, Google Sheets, Jina AI and Slack |
|---|---|
| Complexity | advanced |
| Nodes | 31 |
| Categories | Market Research, AI Summarization |
| Author | Dataki |
| Published | 25 Jan 2025 |
Use the JSON export at /data/workflows/2799/2799.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.
Check Legal Regulations : This workflow involves scraping, so ensure you comply with the legal regulations in your country before getting started. Better safe than sorry! Purpose This workflow e...
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 Market Research, AI Summarization use case.