{"product_id":"n8n-pdf-rag-chatbot-workflow-openai-pinecone-cohere","title":"n8n PDF RAG Chatbot Workflow: OpenAI + Pinecone + Cohere","description":"\u003ch3\u003eBuild a PDF-powered RAG chatbot in n8n (OpenAI + Pinecone + Cohere)\u003c\/h3\u003e\n\u003cp\u003eIf you want your AI assistant to answer questions using the content of your own PDF documents, this \u003cstrong\u003en8n PDF RAG Chatbot Workflow\u003c\/strong\u003e gives you a complete, ready-to-use Retrieval-Augmented Generation (RAG) template—so your chatbot can ingest PDFs, index them, and retrieve relevant passages for accurate responses.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cp\u003eThis workflow runs in two distinct stages:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003e1) Data ingestion \u0026amp; indexing:\u003c\/strong\u003e Upload a \u003cstrong\u003e.pdf\u003c\/strong\u003e via the n8n \u003cstrong\u003eForm Trigger\u003c\/strong\u003e. The \u003cstrong\u003eDefault Data Loader\u003c\/strong\u003e processes the PDF, and a \u003cstrong\u003eRecursive Character Text Splitter\u003c\/strong\u003e divides the content into smaller chunks.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e2) Embeddings + storage:\u003c\/strong\u003e The \u003cstrong\u003eEmbeddings OpenAI\u003c\/strong\u003e node converts each text chunk into vector embeddings. Those embeddings are then upserted into your selected `Pinecone` index using the \u003cstrong\u003ePinecone Vector Store\u003c\/strong\u003e node, creating a searchable knowledge base.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eNote:\u003c\/strong\u003e This workflow uses paid services (\u003cstrong\u003eOpenAI\u003c\/strong\u003e, \u003cstrong\u003ePinecone\u003c\/strong\u003e, \u003cstrong\u003eCohere\u003c\/strong\u003e), so costs will incur based on usage. Review each provider’s pricing to estimate expenses.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eAnswering customer questions from \u003cstrong\u003ePDF policy documents\u003c\/strong\u003e, manuals, or FAQs\u003c\/li\u003e\n  \u003cli\u003eBuilding an internal knowledge assistant for \u003cstrong\u003euploaded reports and documentation\u003c\/strong\u003e\n\u003c\/li\u003e\n  \u003cli\u003eCreating a SaaS operator-friendly chatbot that can ground responses in \u003cstrong\u003eyour document library\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSelf-hosting requirement:\u003c\/strong\u003e Contains community nodes compatible only with the \u003cstrong\u003eself-hosted version\u003c\/strong\u003e of n8n.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCore integrations\/nodes:\u003c\/strong\u003e \u003cstrong\u003eOpenAI\u003c\/strong\u003e (Embeddings), \u003cstrong\u003ePinecone\u003c\/strong\u003e (Vector Store), and \u003cstrong\u003eCohere\u003c\/strong\u003e (re-ranking).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eWorkflow components (as included):\u003c\/strong\u003e Form Trigger, Default Data Loader, Recursive Character Text Splitter, Pinecone Vector Store, plus LangChain-related nodes such as \u003cem\u003en8nn8n-nodes-langchainlm chat open ai\u003c\/em\u003e, \u003cem\u003en8nn8n-nodes-langchainreranker cohere\u003c\/em\u003e, and chat\/agent trigger nodes.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eVideo tutorial (Bahasa Indonesia): \u003ca href=\"https:\/\/www.youtube.com\/watch?v=pmp96hT8604\u0026amp;t=2s\"\u003eN8N Tutorial: Membangun Chatbot RAG dengan Pinecone, OpenAI, \u0026amp; Cohere\u003c\/a\u003e\u003c\/p\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45747875774643,"sku":"N8N-5734","price":18.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/1doUp0SR8jSl4X3c_SFRt_QCyot0dz.png?v=1785489316","url":"https:\/\/buyflowscripts.com\/products\/n8n-pdf-rag-chatbot-workflow-openai-pinecone-cohere","provider":"N8N Commerce","version":"1.0","type":"link"}