The **Client Communication Management Application** is a multi-tenant platform designed to help businesses manage customer interactions through AI-powered communication channels.
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It allows each client to onboard their projects, configure communication channels (Telegram, Email, etc.), integrate with preferred AI models (ChatGPT, Perplexity, etc.), and leverage a knowledge base for context-aware responses.
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The application provides:
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- A dedicated **client dashboard** for project setup, knowledge base upload, and communication channel configuration.
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- A **customer-facing AI interface** (chat page, Telegram bot, or email integration) where end-users can interact with the AI assistant.
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- An **admin dashboard** to monitor, review, and override AI responses when necessary.
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Uploaded project documents and external resources are indexed in a knowledge base powered by vector embeddings (Postgres `pgvector` or external vector DB). This enables retrieval-augmented generation (RAG), ensuring AI responses are accurate and project-specific.
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The platform supports multiple AI connectors, enabling flexibility for businesses to choose the best model for their needs. Clients can seamlessly manage communication, while administrators maintain oversight and control over all conversations.
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The system is built on a Python backend (FastAPI/Django), PostgreSQL database, and integrates with external APIs for AI, messaging, email, and storage services.
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# High-Level Architecture
## Frontend
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- **Background task runner**: Celery / RQ for async jobs (e.g., doc parsing)
- **Caching**: Redis for messages and sessions
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# Client Communication Management Application – High-Level Overview