AI-Powered RAG Agent with Google Drive Integration
Developed an advanced Retrieval-Augmented Generation (RAG) AI agent with a chat interface, seamlessly integrated into a website. The agent can handle user queries by accessing information stored in a vector database, which is continuously updated with files from Google Drive.
Key Features:
- Interactive chat experience for real-time user queries.
- Automated file management and processing from Google Drive.
- Efficient storage of document embeddings in Supabase for quick retrieval.
- Integration with OpenAI's API for language generation.
Role:
As the sole developer of this project, I:
Architected and implemented the RAG AI agent using n8n and OpenAI API.
- Managed Google Drive integration for automated file handling.
- Developed a custom chat interface for user interaction.
- Configured PostgreSQL for chat memory and session management.
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