{"code":0,"data":{"id":"d2201f04-c74a-4f7c-9cec-a9ec721ecfb2","publisher_type":"individual","publisher_unique_handle":"scarlettmao","creator_email":"scarlettmao2002@gmail.com","template_name":"Qdrant Upsert Using Google Drive Trigger","icon":"","icon_background":"","icon_file_key":"templates/d2201f04-c74a-4f7c-9cec-a9ec721ecfb2/icon.png","kind":"classic","dsl_file_key":"templates/d2201f04-c74a-4f7c-9cec-a9ec721ecfb2/dsl.yaml","dsl_raw_file_key":"","asset_files":null,"asset_tree_nodes":null,"categories":["operations","it","knowledge"],"deps_plugins":["langgenius/openai"],"preferred_languages":["en"],"overview":"This template continuously monitors specific folders in Google Drive and automatically indexes new or modified files into a Qdrant vector database. When the Google Drive Change Trigger reports a change, the workflow downloads the file, runs OCR for images or extracts text from documents, splits the text into manageable chunks and generates embeddings. Those embeddings are upserted into a Qdrant collection for later retrieval. This allows you to build and refresh a knowledge base from documents stored in Google Drive without manual intervention.","readme":"Install and authenticate the Google Drive plugin with your Google account; configure the change trigger by specifying the change types, file‑name pattern and the folder(s) to watch.\n \n Install and configure the Qdrant Upsert plugin: set the Qdrant server URL, API key and the name of the collection to upsert documents into.\n \n Provide an embedding model (via OpenAI or another provider) to convert text into vector embeddings.\n \n Set optional file filters or folder scopes as needed; deploy the workflow and ensure it has permission to access both Google Drive and Qdrant","partner_link":"","version":"0.5.0","status":"published","review_comment":"","usage_count":744,"created_at":"2026-03-09T18:41:05.786083Z","updated_at":"2026-03-09T18:41:05.786083Z"},"msg":"ok"}