metadata
title: Enterprise AI Copilot
emoji: π
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: false
π Enterprise AI Copilot β A Multi-Agent Platform for Intelligent Enterprise Automation
An enterprise-grade, multi-agent AI automation platform built with LangGraph, FastAPI, React 18, Qdrant Vector Database, and PostgreSQL. Features hybrid RAG search, natural language SQL generation, automated analytics, real-time web search, multi-tenant RBAC security, and a full ChatGPT-style streaming UI.
π Key Architecture & Capabilities
π€ 1. LangGraph Multi-Agent Suite
Powered by a Supervisor Planner Node that dynamically routes incoming queries to specialized agents:
- π Retrieval Specialist (Hybrid RAG): Performs dense vector search in Qdrant with CrossEncoder reranking (
ms-marco-MiniLM-L-6-v2). - ποΈ SQL Intelligence Agent: Generates safe SQL queries validated by an AST parser that blocks destructive DML/DDL commands.
- π Analytics Specialist: Generates structured metrics and dynamic chart visualizations (Recharts).
- π» Code Specialist: Writes, explains, and debugs code snippets with markdown formatting.
- π Web Search Specialist: Fetches real-time online data via DuckDuckGo integration.
- π¬ Direct Response Synthesizer: Handles conversational queries and synthesizes grounded answers with page-level citations.
π¬ 2. ChatGPT-Style Frontend Interface
- Persistent Conversation Memory: Sessions and multi-turn chat history stored in PostgreSQL/SQLite.
- Left Sidebar Navigation: Grouped conversation threads (Today, Yesterday, Previous) with instant session switching and deletion.
- Live Response Streaming: Server-Sent Events (SSE) token streaming with word-by-word typing animation.
- 1-Click Document Chat: Ask questions about any uploaded document directly from the Documents dashboard.
π 3. Enterprise Security & Multi-Tenant RBAC
- Tenant Isolation: Every database record and vector payload is strictly tagged and filtered by
tenant_id. - Role-Based Access Control:
- π
admin: Full platform control, user invitations, system audit logs, all document categories. - π
hr: Access restricted to HR handbooks and policy documents. - π°
finance: Access restricted to financial statements and sales metrics. - π€
employee: General knowledge base search with upload restriction safeguards.
- π
π 4. Observability & Monitoring
- Structured Audit Traces: Every agent execution is logged in PostgreSQL with tokens used, routing decision, and latency in milliseconds.
- Metrics Dashboard: Integrated Prometheus metrics exporter and Grafana dashboard monitoring container health and request volume.
π Multi-Agent Flow Diagram
graph TD
A[User Query] --> B[Supervisor Planner Node]
B -->|routing == retrieval| C[RAG Retrieval Agent + Qdrant + Reranker]
B -->|routing == sql| D[SQL Agent + AST Safety Validator]
B -->|routing == analytics| E[Analytics Agent + Chart Generator]
B -->|routing == code| F[Code Specialist Agent]
B -->|routing == web| G[Web Search Agent + DuckDuckGo]
B -->|routing == direct| H[Direct Conversational Handler]
C --> I[Response Synthesizer Node]
D --> I
E --> I
F --> I
G --> I
H --> I
I --> J[Streaming SSE Output + Citation Metadata]
βοΈ Microservice Architecture
The platform runs 10 microservices orchestrated via Docker Compose:
| Container | Service | Tech Stack | Port |
|---|---|---|---|
copilot_frontend |
Frontend UI | React 18, TypeScript, TailwindCSS, Vite | :3000 |
copilot_backend |
Core API & Agents | FastAPI, LangGraph, SQLAlchemy, Uvicorn | :8000 |
copilot_postgres |
Primary Database | PostgreSQL 16 | :5432 |
copilot_qdrant |
Vector Database | Qdrant v1.12 | :6333 |
copilot_redis |
Cache & Broker | Redis 7 | :6379 |
copilot_celery |
Task Worker | Celery | Background |
copilot_nginx |
Reverse Proxy | Nginx Alpine | :8080 |
copilot_prometheus |
Metrics Collector | Prometheus | :9090 |
copilot_grafana |
Monitoring Dashboard | Grafana | :3001 |
β‘ Quick Start (Local Docker Setup)
1. Clone & Setup Environment
git clone https://github.com/purityadav2/Enterprise-AI-Copilot.git
cd Enterprise-AI-Copilot
# Copy sample environment configuration
cp .env.example .env
2. Launch All Microservices
docker compose -f docker/docker-compose.yml up -d
3. Open the App in Your Browser
- Frontend App: http://localhost:3000
- FastAPI Swagger Docs: http://localhost:8000/docs
- Grafana Monitoring: http://localhost:3001
4. Default Seed Credentials
- Email:
admin@company.com - Password:
Admin@123!
π§ͺ Running Automated Tests
Run the full pytest suite inside the backend container (24/24 unit & end-to-end tests passing):
docker compose -f docker/docker-compose.yml exec backend sh -c "cd /tests && pytest -v"
π Free Deployment on Hugging Face Spaces
This project includes a single-container Dockerfile pre-configured for free deployment on Hugging Face Spaces:
- Create a Space on huggingface.co/new-space using Docker SDK (Blank).
- Add
GROQ_API_KEYandSECRET_KEYin Space Settings β Secrets. - Push to Hugging Face:
git remote add hf https://huggingface.co/spaces/YOUR_USERNAME/Enterprise-AI-Copilot git push hf main --force
π License
Distributed under the MIT License. See LICENSE for more information.