diff --git a/workflows/Create RAG Vector Database from Google Drive Documents using Gemini & Supabase-10651/create_rag_vector_database_from_google_drive_documents_using_gemini_supabase.json b/workflows/Create RAG Vector Database from Google Drive Documents using Gemini & Supabase-10651/create_rag_vector_database_from_google_drive_documents_using_gemini_supabase.json
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+{"meta":{"instanceId":"a243f35537ecbb3a29ba49c4cf2200720075b362bcc7d02523f79748238bcfd6"},"nodes":[{"id":"97927b62-d8b9-4c98-b3d1-160c81c524e5","name":"Embeddings Google Gemini4","type":"@n8n/n8n-nodes-langchain.embeddingsGoogleGemini","position":[208,320],"parameters":{},"credentials":{"googlePalmApi":{"id":"VCZQfcHNj0rHxcNf","name":"GEMINI_API_KUDDUS"}},"typeVersion":1},{"id":"a9afa4ed-5e53-423c-9521-a79b17dbdde1","name":"Default Data Loader2","type":"@n8n/n8n-nodes-langchain.documentDefaultDataLoader","position":[384,304],"parameters":{"options":{},"dataType":"binary"},"typeVersion":1.1},{"id":"478d1053-af37-451e-9baf-7708f43653fa","name":"Execute a SQL query","type":"n8n-nodes-base.postgres","position":[-624,48],"parameters":{"query":"DROP TABLE IF EXISTS documents CASCADE;\n\nCREATE EXTENSION IF NOT EXISTS vector;\n\nCREATE TABLE IF NOT EXISTS documents (\n  id bigserial PRIMARY KEY,\n  content text,\n  metadata jsonb,\n  embedding vector(768)\n);\n\nCREATE OR REPLACE FUNCTION match_documents(\n  query_embedding vector(768),\n  match_count int DEFAULT NULL,\n  filter jsonb DEFAULT '{}'::jsonb\n)\nRETURNS TABLE (\n  id bigint,\n  content text,\n  metadata jsonb,\n  similarity double precision\n)\nLANGUAGE sql\nAS $$\n  SELECT\n    d.id,\n    d.content,\n    d.metadata,\n    1 - (d.embedding <=> query_embedding) AS similarity\n  FROM documents d\n  WHERE (filter = '{}'::jsonb OR d.metadata @> filter)\n  ORDER BY d.embedding <=> query_embedding\n  LIMIT match_count;\n$$;\n","options":{},"operation":"executeQuery"},"credentials":{"postgres":{"id":"KbYSAyR6T3ljhFKn","name":"Postgres account"}},"typeVersion":2.6},{"id":"7e4395b7-b822-41b6-aac3-0d4c2e3a749b","name":"Code in JavaScript","type":"n8n-nodes-base.code","position":[-848,48],"parameters":{"jsCode":"// Get the Drive_Folder_link from the workflow input\nconst driveUrl = $input.first().json.Drive_Folder_link;\n\n// Extract Google Drive folder/file ID from URL\nfunction getDriveId(url) {\n  const folderMatch = url.match(/\\/folders\\/([a-zA-Z0-9_-]+)/);\n  const fileMatch = url.match(/\\/file\\/d\\/([a-zA-Z0-9_-]+)/);\n  return folderMatch ? folderMatch[1] : (fileMatch ? fileMatch[1] : null);\n}\n\n// Process input items\nreturn items.map(item => {\n  const chatInput = item.json.chatInput || driveUrl || '';\n  const driveId = getDriveId(chatInput);\n\n  return {\n    json: {\n      originalInput: chatInput,\n      folderId: driveId,\n      driveId: driveId\n    }\n  };\n});\n"},"typeVersion":2},{"id":"3a4041d1-25ac-4ab4-974e-a5460c9a8ffa","name":"When Executed by Another Workflow","type":"n8n-nodes-base.executeWorkflowTrigger","position":[-1056,48],"parameters":{"inputSource":"jsonExample","jsonExample":"{\n  \"Drive_Folder_link\": \"https://drive.google.com/drive/folders/example\"\n}"},"typeVersion":1.1},{"id":"92141102-016e-4e8a-b69f-f09d0522924d","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-1504,-128],"parameters":{"color":5,"width":368,"height":512,"content":"# 📁 Drive to Supabase Vector Store for Study RAG\n\nProcesses Google Drive folder files into Supabase vector embeddings for RAG applications.\n\n**Flow:** Drive URL → Parse ID → Init DB → Fetch Files → Loop → Download → Embed → Store\n\n**Requirements:**\n- Google Drive OAuth2\n- Supabase + Postgres credentials\n- Google Gemini API key\n\n**Input:** `{\"Drive_Folder_link\": \"your_drive_url\"}`\n**Output:** Vector embeddings in Supabase documents table\n"},"typeVersion":1},{"id":"6960ace8-fd01-4f9e-acfc-05185a0b197f","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-1104,208],"parameters":{"width":176,"height":128,"content":"**Trigger Node** - Starts workflow when called from another n8n workflow. Accepts Drive folder URL as input.\n"},"typeVersion":1},{"id":"2befa4d1-ded3-4eeb-93ec-acdc9a9e22fb","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-864,208],"parameters":{"width":150,"height":128,"content":"**Extract Folder ID** - Parses Google Drive URL using regex to extract folder/file ID for API calls.\n"},"typeVersion":1},{"id":"e71b4968-43de-477f-9de6-474cd471c405","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-656,208],"parameters":{"width":176,"content":"**Initialize Database** - Creates Supabase vector table with pgvector extension and match_documents search function. ⚠️ Drops existing table!\n"},"typeVersion":1},{"id":"4ac27951-096f-44ba-8e66-be73b3c0d380","name":"Loop Over Items","type":"n8n-nodes-base.splitInBatches","position":[-192,48],"parameters":{"options":{}},"typeVersion":3},{"id":"d556d5eb-6216-4e39-bf8f-07a948fcbb0d","name":"Search files and folders","type":"n8n-nodes-base.googleDrive","position":[-416,48],"parameters":{"filter":{"folderId":{"__rl":true,"mode":"id","value":"={{ $('Code in JavaScript').item.json.folderId }}"}},"options":{},"resource":"fileFolder"},"credentials":{"googleDriveOAuth2Api":{"id":"CVN95k3ctbjWs60e","name":"Google_Drive_gaming"}},"typeVersion":3},{"id":"db2f57b6-1aa9-4926-a211-7362d5d4533e","name":"Insert into Supabase Vectorstore","type":"@n8n/n8n-nodes-langchain.vectorStoreSupabase","position":[256,48],"parameters":{"mode":"insert","options":{"queryName":"match_documents"},"tableName":{"__rl":true,"mode":"list","value":"documents","cachedResultName":"documents"}},"credentials":{"supabaseApi":{"id":"OweRv8RLSfhKJyfg","name":"Supabase account"}},"typeVersion":1},{"id":"09addf62-6c1a-4af4-a5d5-6b2323f64886","name":"Download File","type":"n8n-nodes-base.googleDrive","position":[48,64],"parameters":{"fileId":{"__rl":true,"mode":"id","value":"={{ $json.id }}"},"options":{"googleFileConversion":{"conversion":{"docsToFormat":"text/plain"}}},"operation":"download"},"credentials":{"googleDriveOAuth2Api":{"id":"CVN95k3ctbjWs60e","name":"Google_Drive_gaming"}},"typeVersion":3},{"id":"0c929411-a2d2-49ff-ab92-09aeece9d892","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[-432,224],"parameters":{"width":176,"height":128,"content":"**List Drive Files** - Retrieves all files from the specified Google Drive folder using extracted folder ID.\n"},"typeVersion":1},{"id":"b2b6df82-5145-4719-b3bc-a5501e31ed08","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[16,-112],"parameters":{"width":150,"content":"**List Drive Files** - Retrieves all files from the specified Google Drive folder using extracted folder ID.\n"},"typeVersion":1},{"id":"0d6c2252-f11a-4a12-978c-b121c68c8663","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[240,-208],"parameters":{"color":7,"height":240,"content":"**Store Embeddings** - Generates 768-dim vectors via Gemini and inserts documents into Supabase for semantic search.\n**AI Embeddings** - Converts text to 768-dimensional vectors using Google Gemini text-embedding-004 model.\n**Document Loader** - Extracts and formats text from binary files for the embedding generator.\n"},"typeVersion":1}],"pinData":{},"connections":{"Download File":{"main":[[{"node":"Insert into Supabase Vectorstore","type":"main","index":0}]]},"Loop Over Items":{"main":[[],[{"node":"Download File","type":"main","index":0}]]},"Code in JavaScript":{"main":[[{"node":"Execute a SQL query","type":"main","index":0}]]},"Execute a SQL query":{"main":[[{"node":"Search files and folders","type":"main","index":0}]]},"Default Data Loader2":{"ai_document":[[{"node":"Insert into Supabase Vectorstore","type":"ai_document","index":0}]]},"Search files and folders":{"main":[[{"node":"Loop Over Items","type":"main","index":0}]]},"Embeddings Google Gemini4":{"ai_embedding":[[{"node":"Insert into Supabase Vectorstore","type":"ai_embedding","index":0}]]},"Insert into Supabase Vectorstore":{"main":[[{"node":"Loop Over Items","type":"main","index":0}]]},"When Executed by Another Workflow":{"main":[[{"node":"Code in JavaScript","type":"main","index":0}]]}}}
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