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1 line
1.1 KiB
JSON
{"user_name":"Mantaka Mahir","user_username":"mantakamahir","user_bio":"Al Automation Expert || Al Agents || n8n || Python || LangChain || Helping businesses scale revenue and reduce costs with Al driven automation .","user_links":"https://www.linkedin.com/in/mantakamahir/","user_avatar":"https://gravatar.com/avatar/2198af8136b95d369dabbf8321942f21e73f7a6c55e485b3621469878d703d23?r=pg&d=retro&size=200","url":"https://n8nworkflows.xyz/workflows/create-rag-vector-database-from-google-drive-documents-using-gemini---supabase-10651\n","url_n8n":"https://n8n.io/workflows/10651","nodeTypes":{"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.postgres":{"count":1},"n8n-nodes-base.stickyNote":{"count":7},"n8n-nodes-base.googleDrive":{"count":2},"n8n-nodes-base.splitInBatches":{"count":1},"n8n-nodes-base.executeWorkflowTrigger":{"count":1},"@n8n/n8n-nodes-langchain.vectorStoreSupabase":{"count":1},"@n8n/n8n-nodes-langchain.embeddingsGoogleGemini":{"count":1},"@n8n/n8n-nodes-langchain.documentDefaultDataLoader":{"count":1}},"categories":[{"id":35,"name":"Document Extraction"},{"id":48,"name":"AI RAG"}]} |