Automate Document Processing and Semantic Search with Google Drive and Qdrant
This n8n workflow automates the ingestion of documents from Google Drive and web forms into a Qdrant vector database for enhanced semantic search capabilities. It ensures efficient batch processing, document analysis, embedding generation, and vector storage, with robust error handling and execution tracking.
The workflow integrates multiple technologies to streamline document processing. It accepts files from Google Drive and web forms, processes them one at a time to avoid memory issues, and uses Google Gemini for document analysis. OpenAI embeddings are generated for each document to enable semantic search. Processed files can be automatically deleted from Google Drive, and the workflow includes an interactive chatbot for testing search queries against indexed documents.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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