Automated Document Processing and Email Notification Workflow

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This n8n workflow automates the process of extracting information from newly added documents in Google Drive and responding with relevant email notifications. It begins with a trigger on Google Drive when a new file is created. The workflow then downloads the file, extracts text from PDF documents, and uses a language model (Ollama) to analyze and extract key information. An information extractor node processes this data, which is then stored in a vector database (PostgreSQL PGVector) for future reference. Subsequently, a customized email is generated using an AI language model and sent via Gmail. Additionally, the workflow updates a Google Spreadsheet with relevant details for record-keeping. This setup is practical for automating document analysis, knowledge management, and communication workflows, especially in environments with frequent document uploads needing prompt summarization and response.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmOllama, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.vectorStorePGVector, extractFromFile, gmail, googleDrive, googleDriveTrigger, googleSheets, noOp, stickyNote

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