AI Conversational Agent with Dynamic Data & Actions

AI Automation

AI Conversational Agent with Dynamic Data & Actions

Project Overview

AI-powered conversational agent that processes user inputs, maintains memory, interacts with data sources, and executes actions like sending emails and updating spreadsheets.

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How It Works
  • 1Webhook Trigger - External HTTP request initiates the workflow
  • 2Input Processing - Data is processed and routed through user/bot rules
  • 3AI Orchestration - Core AI Agent determines appropriate actions using OpenAI and Postgres memory
  • 4Direct Tools - AI uses tools for Gmail, Google Sheets, and vector store queries
  • 5Sub-Agent Delegation - Complex tasks delegated to specialized AI sub-agents
  • 6Data Operations - Sub-agents perform document listing, file retrieval, and SQL queries
  • 7Knowledge Retrieval - Vector store provides contextual information using embeddings
  • 8Action Execution - AI executes decisions like sending messages or updating data
  • 9Response - Webhook sends response back to initiating system
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Key Benefits and features
  • Intelligent Automation - Reduces manual effort with advanced AI
  • Contextual Memory - Maintains conversation history for personalized interactions
  • Dynamic Knowledge - Leverages vector store for accurate information retrieval
  • Multi-Platform Actions - Works across Gmail, Google Sheets, and databases
  • Extensible Data Access - Processes both structured and unstructured information
  • Scalable Architecture - Modular design allows easy expansion
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🔗 Webhook Trigger

Real-time integration by accepting external HTTP requests, making it the gateway for triggering the entire AI conversational agent workflow from any external system or application.

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🤖 AI Agent Tool

the core intelligence hub, integrating an OpenAI chat model for advanced reasoning, a Postgres database for conversational memory, and specialized tools to dynamically list documents, retrieve file contents, and execute SQL queries, empowering the agent to understand, remember, and act within the workflow.

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📧 Gmail Send Message

Providing the AI agent with the capability to send emails directly from Gmail, enabling automated outbound communication to deliver responses, notifications, or custom messages as a crucial part of the workflow's interactive functionality.

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âš¡ Supabase Vector Embeddings

The workflow's intelligent memory, combining Supabase as a robust vector database with OpenAI's powerful embedding models to transform and store information semantically. This enables the AI agent to perform highly accurate and context-aware searches, retrieving relevant data for informed decision-making and response generation.

Technical Architecture
Built with modern technologies for optimal performance, security, and scalability. The dashboard leverages real-time data processing and responsive design to deliver insights across all devices and user roles.

n8n Workflow Engine

Orchestrates automation with visual interface to connect services and manage data flow.

OpenAI (Chat Models + Embeddings)

Provides core AI intelligence for natural language understanding, reasoning, and vector embeddings for semantic search.

PostgreSQL + Supabase

Persistent memory store for conversational context, structured data management, and vector database for RAG capabilities.

Gmail + Google Sheets Integration

Enables automated email communication and dynamic data management across Google's productivity suite.

Document Management

Facilitates document listing and content retrieval from PostgreSQL database for unstructured data processing.

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