Block 1 - Form Trigger
- Type / Role
- n8n-nodes-base.formTrigger - formTrigger
- Config choices
- Version 2
This workflow is provided as-is. Please review and test before using in production.
Who’s it for This template is designed for creators, researchers, freelance writers, founders, and automation professionals who want a reliable way to generate structured, citation backed research ...
n8n-nodes-base.formtrigger, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.respondtowebhook, @n8n/n8n-nodes-langchain.lmchatgroq, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Muhammad Shaheer Awan.
Original n8n.io sourceThis template is designed for creators, researchers, freelance writers, founders, and automation professionals who want a reliable way to generate structured, citation-backed research content without doing manual data collection. Anyone creating blog posts, reports, briefs, or research summaries will benefit from this system.
This workflow turns a simple form submission into a complete research pipeline. It accepts a topic, determines what needs to be researched, gathers information from the web, writes content, fact-checks it against the collected sources, edits the draft for clarity, and compiles a final report. It behaves like a small agentic research team inside n8n.
A form collects the research topic, depth, and desired output format.
A research agent generates focused search queries.
SERP API retrieves real-time results for each query.
The workflow aggregates and structures all findings.
A writing agent creates the first draft based on the data.
A fact-checking agent verifies statements against the sources.
An editor agent improves tone, flow, and structure.
A final review agent produces the completed research document with citations.
This workflow includes annotated sticky notes to explain each step and guide configuration.
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.
| Workflow | Generate fact-checked research reports with Llama AI and Web search |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Content Creation, AI RAG |
| Author | Muhammad Shaheer Awan |
| Published | 21 Nov 2025 |
Use the JSON export at /data/workflows/11116/11116.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.
Who’s it for This template is designed for creators, researchers, freelance writers, founders, and automation professionals who want a reliable way to generate structured, citation backed research ...
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 Content Creation, AI RAG use case.