{"product_id":"n8n-workflow-index-local-docs-for-rag-with-ollama-qdrant","title":"n8n Workflow: Index Local Docs for RAG with Ollama \u0026 Qdrant","description":"\u003ch3\u003eIndex your local documents for RAG—automatically\u003c\/h3\u003e\n\u003cp\u003eThis n8n workflow reads a document from your local disk, turns it into vector embeddings using \u003cstrong\u003eOllama\u003c\/strong\u003e (model: \u003cstrong\u003enomic-embed-text\u003c\/strong\u003e), and stores the results in a \u003cstrong\u003eQdrant\u003c\/strong\u003e collection—ready for on-prem Retrieval-Augmented Generation (RAG).\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRuns manually\u003c\/strong\u003e when you click \u003cem\u003eExecute workflow\u003c\/em\u003e in n8n.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eReads a local file\u003c\/strong\u003e from the n8n host\/container filesystem using the \u003cstrong\u003eRead\/Write Files from Disk\u003c\/strong\u003e step.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eExtracts text\u003c\/strong\u003e from the file (configured for \u003cstrong\u003ePDF extraction\u003c\/strong\u003e).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSplits extracted text into overlapping chunks\u003c\/strong\u003e with a recursive character splitter.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eGenerates embeddings\u003c\/strong\u003e for each chunk via \u003cstrong\u003eOllama\u003c\/strong\u003e using \u003cstrong\u003enomic-embed-text\u003c\/strong\u003e.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eUpserts vectors into Qdrant\u003c\/strong\u003e in a specified collection (e.g., \u003cem\u003ehandbook\u003c\/em\u003e).\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eIndex a \u003cstrong\u003ePDF handbook\u003c\/strong\u003e or internal policy docs into Qdrant so your RAG assistant can cite relevant sections.\u003c\/li\u003e\n  \u003cli\u003eCreate an \u003cstrong\u003eon-prem document knowledge base\u003c\/strong\u003e for SaaS ops teams without sending data to external services.\u003c\/li\u003e\n  \u003cli\u003eRefresh embeddings for updated documents on demand—ideal for periodic knowledge maintenance.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRequired environment:\u003c\/strong\u003e \u003cstrong\u003eSelf-hosted n8n\u003c\/strong\u003e. This workflow depends on the local-filesystem \u003cstrong\u003eRead\/Write Files from Disk\u003c\/strong\u003e node and will not run on \u003cstrong\u003en8n Cloud\u003c\/strong\u003e.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eOllama integration:\u003c\/strong\u003e add an n8n credential pointing to your Ollama instance and ensure you’ve pulled \u003cstrong\u003enomic-embed-text\u003c\/strong\u003e (e.g., \u003ccode\u003eollama pull nomic-embed-text\u003c\/code\u003e).\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eQdrant integration:\u003c\/strong\u003e configure Qdrant API credentials (URL + API key) and set the \u003cstrong\u003ecollection name\u003c\/strong\u003e.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNodes \/ tech stack:\u003c\/strong\u003e \u003cem\u003eManual Trigger\u003c\/em\u003e, \u003cem\u003eRead\/Write Files from Disk\u003c\/em\u003e, file text extraction, \u003cem\u003en8nn8n-nodes-langchain\u003c\/em\u003e \u003cstrong\u003eOllama Embeddings\u003c\/strong\u003e and \u003cstrong\u003eQdrant Vector Store\u003c\/strong\u003e nodes.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45758764318899,"sku":"N8N-17764","price":49.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/f5Z-MaOiEeFg9sSYVtN24_ZBHDUaW3.png?v=1785835091","url":"https:\/\/buyflowscripts.com\/products\/n8n-workflow-index-local-docs-for-rag-with-ollama-qdrant","provider":"N8N Commerce","version":"1.0","type":"link"}