{"product_id":"seed-supabase-vector-store-with-ollama-embeddings-n8n","title":"Seed Supabase Vector Store with Ollama Embeddings (n8n)","description":"\u003ch3\u003eSeed your Supabase Vector Store with Ollama embeddings (n8n)\u003c\/h3\u003e\n\u003cp\u003eThis n8n workflow loads your own reference text into a Supabase \u003cem\u003epgvector\u003c\/em\u003e table—using \u003cstrong\u003eOllama\u003c\/strong\u003e embeddings—so you can build an AI assistant that retrieves relevant answers from your documents.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eManual start:\u003c\/strong\u003e Run the workflow when you’re ready to seed or update your vector database.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eLoad reference entries:\u003c\/strong\u003e Define a list of reference text entries inside the workflow.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eChunk for reliable retrieval:\u003c\/strong\u003e Split each entry into smaller overlapping chunks for consistent similarity search.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eGenerate embeddings with Ollama:\u003c\/strong\u003e Create vector embeddings for each chunk using Ollama’s \u003cstrong\u003enomic-embed-text\u003c\/strong\u003e model.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eStore in Supabase:\u003c\/strong\u003e Insert chunk text, metadata, and embeddings into a Supabase \u003ccode\u003epgvector\u003c\/code\u003e table using the configured \u003cstrong\u003ematch_reference_documents\u003c\/strong\u003e SQL function.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCustomer support FAQ bots:\u003c\/strong\u003e Seed product FAQs, troubleshooting guides, and policy text for fast retrieval.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eHR onboarding:\u003c\/strong\u003e Turn onboarding documents and SOPs into searchable knowledge for new hires.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eOperations knowledge base:\u003c\/strong\u003e Make internal procedures searchable by chunk-based vector lookup.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eResearch \u0026amp; reference organization:\u003c\/strong\u003e Store notes and reference data so an AI can pull the right excerpts.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details (built with n8n)\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eIntegrations:\u003c\/strong\u003e \u003cstrong\u003eSupabase\u003c\/strong\u003e (pgvector via \u003ccode\u003ereference_documents\u003c\/code\u003e + \u003ccode\u003ematch_reference_documents\u003c\/code\u003e), \u003cstrong\u003eOllama\u003c\/strong\u003e (local embeddings)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eEmbeddings model:\u003c\/strong\u003e \u003ccode\u003enomic-embed-text\u003c\/code\u003e\n\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNodes \/ stack:\u003c\/strong\u003e Code, Sticky Note, Manual Trigger, \u003ccode\u003en8nn8n-nodes-langchainembeddings ollama\u003c\/code\u003e, \u003ccode\u003en8nn8n-nodes-langchainvector store supabase\u003c\/code\u003e, \u003ccode\u003en8nn8n-nodes-langchaindocument default data loader\u003c\/code\u003e\n\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSetup requirements:\u003c\/strong\u003e Supabase project with pgvector enabled; Ollama running locally with the \u003ccode\u003enomic-embed-text\u003c\/code\u003e model pulled\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCustomization:\u003c\/strong\u003e Replace placeholder text in the reference chunk list; adjust chunk size\/overlap as needed (and optionally swap embeddings providers as supported).\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":45837433602227,"sku":"N8N-18278","price":30.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/URA1NEBHen8KJZR5Vl6Rf_4L75ta7o.png?v=1786794152","url":"https:\/\/buyflowscripts.com\/products\/seed-supabase-vector-store-with-ollama-embeddings-n8n","provider":"N8N Commerce","version":"1.0","type":"link"}