Reusable Google Drive & Gemini AI Knowledge Base Solution

Hi, there. We are looking for an experienced Python and AI developer to build a Google Drive to Gemini Connector that allows users to connect Google Drive folders with Google Gemini for intelligent document querying and analysis. The application should integrate with the Google Drive API and Gemini API, support multiple document formats (PDF, Google Docs, Word, CSV, and Text files), and provide a user-friendly chat interface. The system should implement a RAG (Retrieval-Augmented Generation) architecture for accurate, context-aware responses based on the stored documents. The solution must be reusable, allowing easy configuration for multiple Google Drive folders and knowledge bases. A simple web interface and REST API endpoints are required for both end users and programmatic integrations. The project should include comprehensive documentation, setup instructions, and secure OAuth2 authentication with read-only Drive access. Clean, maintainable, and well-documented code is essential, with deployment support for local or cloud environments. Best Regards.