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🧬 RAG & KnowledgeIntermediate🧠 AI-powered🧬 RAG

Viral Video Generator

A 36-step rag & knowledge automation, triggered by schedule, connecting OpenRouter (LLM), OpenAI Embeddings, Google Sheets, HTTP / REST API, with built-in AI reasoning.

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💡

What this does for your business

In plain terms: this turns your documents into a smart Q&A brain. It reads and remembers your content, then answers questions accurately using OpenRouter (LLM), OpenAI Embeddings, Google Sheets — great for support and internal knowledge.

36
Nodes
4
Integrations
33
Connections
Schedule
Trigger

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🏗️ Architecture diagram

The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.

🧠OpenRouter Chat Model1lmChatOpenRouter•Pinecone Vector Store1vectorStorePinecone🧬Embeddings OpenAI1embeddingsOpenAi•Pinecone Vector StorevectorStorePinecone🧬Embeddings OpenAIembeddingsOpenAi🧠OpenRouter Chat ModellmChatOpenRouter•Ifif▶Trigger: Start Daily …scheduleTrigger🧠AI Agent: Generate Cr…agent🧠Tool: Inject Creative…toolThink🧠Parse AI Output (Idea…outputParserStructu…📊Save Idea & Metadata …googleSheets🧠AI Agent: Generate De…agent🧠Tool: Refine and Vali…toolThink🧠Parse Structured Vide…outputParserStructu…•Extract Individual Sc…code•Wait for Clip Generat…wait🌐Retrieve Video Clips1httpRequest🌐Generate ASMR Sound (…httpRequest•Wait for Sound Genera…wait🌐Retrieve Final Sound …httpRequest🌐Generate Video Clips …httpRequest•List Clip URLs for St…code🌐Merge Clips into Fina…httpRequest•Wait for Video Render…wait🌐Retrieve Final Merged…httpRequest📊URL Final Video1googleSheets📊Get my video1googleSheets•Assign Social Media I…set🌐Upload Video to Blota…httpRequest🌐INSTAGRAM1httpRequest🌐YOUTUBE1httpRequest🌐TIKTOK1httpRequest🌐LINKEDIN1httpRequest🌐BLUESKY1httpRequest🌐TWITTER1httpRequest

⚙️ How it works

  1. OpenRouter Chat Model1 · lmChatOpenRouter
  2. Embeddings OpenAI1 · embeddingsOpenAi
  3. Embeddings OpenAI · embeddingsOpenAi
  4. OpenRouter Chat Model · lmChatOpenRouter
  5. Trigger: Start Daily Content Generation1 · scheduleTrigger
  6. Tool: Inject Creative Perspective (Idea)1 · toolThink
  7. Parse AI Output (Idea, Environment, Sound)1 · outputParserStructured
  8. Tool: Refine and Validate Prompts · toolThink
  9. Parse Structured Video Prompt Output1 · outputParserStructured
  10. LINKEDIN1 · httpRequest
  11. BLUESKY1 · httpRequest
  12. TWITTER1 · httpRequest
  13. AI Agent: Generate Creative Video Idea1 · agent
  14. Pinecone Vector Store1 · vectorStorePinecone

💼 Business analysis

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Business use case

Builds a retrieval-augmented knowledge system: content is embedded into a vector store and served back as grounded, citeable answers. Ideal for support deflection, internal knowledge bases, and AI assistants that must stay factual.

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Market need

Generic chatbots hallucinate; companies need answers grounded in their own documents. RAG is the proven pattern, and a working pipeline is scarce and valuable.

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Market value

RAG assistant implementations typically run $5,000–$20,000 bespoke. Packaged, it underpins support-deflection tools that sell for $99–$999/mo.

🧩 Integrations & stack

🧠OpenRouter (LLM)🧬OpenAI Embeddings📊Google Sheets🌐HTTP / REST API
Node typeslmChatOpenRouter, vectorStorePinecone, embeddingsOpenAi, if, scheduleTrigger, agent, toolThink, outputParserStructured, googleSheets, code, wait, httpRequest, setWorkflow IDrI2tj6lfA2iB4bhB
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