AI Automation
AI Email Assistant with Knowledge Base
AI Automation
AI Email Assistant with Knowledge Base
This is an automated email response system that uses AI to intelligently answer emails by leveraging a continuously updated knowledge base with automated knowledge base updates. The system consists of two interconnected workflows that work together to provide intelligent, context-aware email responses.
- 1Email Processing: When an email arrives, the system triggers the main workflow
- 2AI Analysis: The AI agent analyzes the email content and determines what information it needs
- 3Knowledge Retrieval: If needed, it searches the vector store for relevant information
- 4Response Generation: Combines the retrieved knowledge with its understanding to generate a response
- 5Knowledge Updates: When documents are added/updated in Google Drive, they're automatically processed and added to the knowledge base
- 6Self-Updating Knowledge Base: Automatically processes new documents from Google Drive without manual intervention
- Always Up-to-Date: The knowledge base automatically updates when new documents are added
- Context-Aware: Maintains conversation history for better responses
- Scalable: Can handle large amounts of documentation
- Intelligent: Uses RAG to provide accurate, document-based answers rather than just generic responses
- Self-Updating Knowledge Base: Automatically processes new documents from Google Drive without manual intervention
📬 Gmail Trigger
The Gmail Trigger serves as the entry point of your AI email assistant system, automatically detecting when new emails arrive in your connected Gmail account and immediately starting the workflow to process and respond to them in real-time.
🤖 AI Agent
The AI Agent serves as the brain of the email assistant, combining OpenAI's advanced language capabilities with persistent memory storage to understand context, generate intelligent responses, and maintain conversation history across multiple interactions for truly personalized email automation.
❓ Answer with Vector Store
This block serves as the intelligent query engine, efficiently retrieving pertinent information from the Supabase Vector Store using embeddings, and then leveraging the OpenAI Chat Model to formulate accurate and contextually relevant answers to incoming questions, effectively acting as the workflow's knowledge base interface.
🔄 Dynamic Knowledge Base Loader
AI email assistant acceibility to latest document information by automatically monitoring Google Drive for new or updated documents, processes them through PDF text extraction, intelligent text chunking, and OpenAI embedding generation, then seamlessly updates the Supabase Vector Store to keep the AI assistant's knowledge base continuously current and accurate.
n8n Workflow Automation
Orchestrates the entire process
OpenAI Integration
Used for its chat models and embeddings
Supabase Backend
Handles vector storage and database operations
Postgres Memory
Stores conversation history for context
n8n Workflow Automation
Orchestrates the entire process
OpenAI Integration
Used for its chat models and embeddings
Supabase Backend
Handles vector storage and database operations
Postgres Memory
Stores conversation history for context
