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Build Custom Workflows Automatically with GPT-4o, RAG, and Web Search

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Created by: Franz || agents-by-franz

Franz

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Last update a day ago

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🚀 What the “Agent Builder” template does

Need to turn a one-line chat request into a fully-wired n8n workflow template—complete with AI agents, RAG, and web-search super-powers—without lifting a finger?
That’s exactly what Agent Builder automates:

  1. Listens to any incoming chat message (via the Chat Trigger).
  2. Spins up an AI architect that analyses the request, searches the web, reads n8n docs from a Pinecone vector store, and designs the smallest possible set of nodes.
  3. Auto-generates a ready-to-import JSON template and hands it back as a downloadable file—plus all the supporting assets (embeddings, vector store etc.) so the next prompt is even smarter.

Think of it as your personal “workflow chef”: you shout the order, it shops for ingredients, cooks, plates, and serves the meal. All you do is eat.

🤗 Who will love this?

  • No-code builders / power users who don’t want to wrestle with AI node wiring.
  • Agencies & consultants delivering lots of bespoke automations.
  • Internal platform teams who need a “workflow self-service portal” for non-technical colleagues.

🧩 How it’s wired

Sub-process What happens inside Key nodes
Web Crawler (optional) Firecrawl scrapes docs.n8n.io (or any URL you drop in) and streams raw markdown back. Set URL → HTTP Request (Extract) → Wait & Retry
RAG Trainer Splits the scraped docs, embeds them with OpenAI, and upserts vectors into Pinecone. Recursive Text Splitter → Embeddings OpenAI → Train Pinecone
Agent Builder The star of the show – orchestrates GPT-4o (via OpenRouter), SerpAPI web-search, your Pinecone index and a Structured Output Parser to produce → validate → prettify the final n8n template. Chat Trigger → AI Agent → OpenAI (validator) → Code (extract) → Convert to JSON file

Every arrow in the drawn workflow is pre-connected, so the generated template always passes n8n’s import check.

🛠️ Getting set up (5 quick creds)

Service Credential type
OpenAI / Azure OpenAI – embeddings & validation OpenAI API
Pinecone – vector store Pinecone API
OpenRouter – GPT-4o LLM OpenRouter API Key
SerpAPI – web search SerpAPI Key
Firecrawl (only if you plan to crawl) Generic Header Auth → Authorization: Bearer YOUR_KEY

Each node already expects those creds; just create them once, select in the dropdown, hit Activate.

🏃‍♀️ What a typical run looks like

  1. User says: “Build me a workflow that monitors our support inbox, summarises new tickets with GPT and posts to Slack.”

  2. Chat Trigger captures the message.

  3. AI Agent:

    • queries Pinecone for relevant n8n docs,
    • fires a SerpAPI search for “n8n gmail trigger example”,
    • sketches an architecture (Gmail Trigger → GPT Model → Slack).

  4. The agent returns JSON ➜ OpenAI node double-checks field names, connections, type versions.

  5. A tiny JS Code node slices the JSON out of the chat blob and saves it as template.json ready for download.

  6. You download, import, and… done.

✏️ Customising

  • Switch the LLM – plug in Claude 3, Gemini 1.5, or a local model; just swap the OpenRouter Chat Model node.
  • Point the RAG at your own docs – change the crawl URL or feed PDFs via the Default Data Loader.
  • Hard-code preferred nodes – edit the “User node preferences” in the system message so the agent always chooses Notion for databases, etc.

🥡 Take-away notes

  • It's a prototype feel free to experiment with it to improve its capabilities.
  • Have fun building!