This comprehensive n8n workflow facilitates automated document processing, storage, and intelligent chat interactions using Google Drive, Qdrant vector store, and Google’s Gemini AI. It enables organizations to efficiently manage large document repositories, convert textual data into embeddings for fast retrieval, and deploy a conversational AI that responds accurately based on stored content.
The workflow begins by retrieving files from a specified Google Drive folder, then processes each document by extracting metadata and splitting text into manageable chunks. These chunks are vectorized using OpenAI embeddings and stored within Qdrant for quick semantic search.
For interaction, the workflow integrates with Google’s Gemini AI to generate context-aware responses. It supports user prompts via chat, retrieves relevant document data from the vector store, and maintains a chat history via Google Docs. Additionally, it includes safety measures like human verification for deleting stored points, with notifications sent through Telegram, ensuring data integrity.
This setup is ideal for businesses aiming to build AI assistants capable of referencing extensive documentbases, supporting knowledge management, customer support, or research applications in a scalable, automated manner.
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