Block 1 - Form Trigger
- Type / Role
- n8n-nodes-base.formTrigger - formTrigger
- Config choices
- Version 2.1
This workflow is provided as-is. Please review and test before using in production.
Description An intelligent RAG Configuration Assistant that analyzes your retrieval augmented generation requirements and delivers AI powered recommendations via email. Get expert guidance on embed...
n8n-nodes-base.formtrigger, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.merge, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.gmail
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sridevi Edupuganti.
Original n8n.io sourceAn intelligent RAG Configuration Assistant that analyzes your retrieval-augmented generation requirements and delivers AI-powered recommendations via email. Get expert guidance on embedding models, chunk sizes, vector stores, and cost estimates—all automated through a simple form submission.
• AI-powered analysis using LLM • 14 predefined use cases (Document Q&A, Chatbot, Legal, Medical, etc.) • Optional document upload for enhanced analysis • Beautiful HTML email reports with modern dashboard design • Customized n8n workflow JSON attachment • Cost estimation based on budget and usage • Deterministic AI (temperature=0) for consistent results • Dual-branch architecture (file upload or manual input)
Essential:
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 | AI-powered RAG configuration assistant: From form to email recommendations |
|---|---|
| Complexity | advanced |
| Nodes | 21 |
| Categories | Engineering, AI RAG |
| Author | Sridevi Edupuganti |
| Published | 20 Dec 2025 |
Use the JSON export at /data/workflows/11990/11990.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.
Description An intelligent RAG Configuration Assistant that analyzes your retrieval augmented generation requirements and delivers AI powered recommendations via email. Get expert guidance on embed...
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 Engineering, AI RAG use case.