Build a self-updating RAG system with OpenAI, Qdrant and Google Drive

This workflow implements a Retrieval-Augmented Generation (RAG) system that integrates Google Drive and Qdrant.

This setup creates a powerful, self-updating knowledge base that provides accurate, context-aware answers to user queries.

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Key Advantages

Automated Knowledge Base Updates No manual intervention is required—documents in Google Drive are automatically synchronized with Qdrant.

Efficient Search and Retrieval Vector embeddings enable fast and precise retrieval of relevant information.

Scalable and Flexible Works with multiple documents and supports continuous growth of your dataset.

Seamless AI Integration Combines OpenAI embeddings for vectorization and Google Gemini for high-quality natural language answers.