Overview
This workflow enables an AI agent to interactively chat with files stored in Supabase Storage and Google Drive. It automates the retrieval, processing, and embedding of documents, making them accessible for conversational AI queries.
Key Features
- Automated File Retrieval: Fetches files from both Supabase Storage and Google Drive.
- Document Processing: Utilizes LangChain nodes for data loading, recursive text splitting, and OpenAI embeddings to prepare documents for AI interaction.
- AI Chat Integration: Allows users to query and chat with the content of their files using advanced language models.
- Conditional Logic & Batching: Employs conditional nodes and batch processing for efficient handling of large file sets.
Benefits
- Time Savings: Eliminates manual file handling and data preparation, streamlining the workflow.
- Enhanced Accessibility: Makes document content easily searchable and interactive via AI chat.
- Scalability: Supports batch processing and conditional logic for large-scale document management.
Use Cases
- Knowledge Management: Centralize and interact with company documents for quick information retrieval.
- Customer Support: Enable AI-driven support agents to access and reference stored documentation.
- Team Collaboration: Facilitate seamless access to shared files and knowledge bases across platforms.
Integrations
- Supabase: For secure file storage and retrieval.
- Google Drive: For accessing and managing cloud-based documents.
- OpenAI & LangChain: For document embedding and conversational AI capabilities.
