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Multi-Agent Business Intelligence Platform

Python PostgreSQL Streamlit LangGraph Qdrant Groq Docker

Enterprise AI-Powered Analytics & Executive Decision Support System

Overview

The Multi-Agent Business Intelligence Platform is an enterprise-grade analytics solution that combines Data Engineering, Business Intelligence, Retrieval-Augmented Generation (RAG), and Multi-Agent AI Systems into a unified decision-support platform.

The system enables business users and executives to ask natural language questions and receive intelligent, context-aware answers generated by specialized AI agents.

Unlike traditional dashboards that only visualize data, this platform combines structured analytics with AI-powered business reasoning to deliver actionable insights and executive intelligence.

Dashboard Preview

Executive Dashboard

Dashboard

AI Executive Summary

Executive Summary

Monthly Revenue Trend

Revenue Trend

AI Business Analyst

AI Analyst

Agent Routing

Agent Routing

Business Problem

Organizations generate large amounts of business data but often struggle with:

  • Fragmented analytics systems
  • Inconsistent KPI definitions
  • Lack of business context
  • Limited executive visibility
  • Static dashboards with no reasoning capabilities
  • Slow decision-making processes

This platform solves these challenges by integrating:

  • Data Warehousing
  • Business Intelligence
  • AI Agents
  • Retrieval-Augmented Generation
  • Executive Analytics

into a single intelligent analytics environment.

Key Features

Enterprise Data Warehouse

  • PostgreSQL Data Warehouse
  • Star Schema Architecture
  • Fact & Dimension Modeling
  • Business Analytics Layer
  • SQL-Based KPI Computation

Multi-Agent AI System

Finance Agent

Handles:

  • Revenue Analysis
  • Profit Analysis
  • Profit Margin Calculation
  • Financial KPI Monitoring
  • Executive Financial Insights

Customer Agent

Handles:

  • Customer Segmentation
  • Customer Revenue Analysis
  • Customer Performance Evaluation
  • Segment-Level Analytics

Product Agent

Handles:

  • Product Performance Analysis
  • Revenue by Product
  • Top Product Identification
  • Product Intelligence

Executive Agent

Generates:

  • Executive Summaries
  • Strategic Business Insights
  • Executive Reporting
  • Decision Support Analytics

LangGraph Orchestration

The platform uses LangGraph to:

  • Route user questions
  • Select specialized agents
  • Coordinate multi-agent workflows
  • Generate intelligent responses

Retrieval-Augmented Generation (RAG)

The knowledge base contains:

Business Rules

  • KPI formulas
  • Business definitions
  • Calculation logic

KPI Definitions

  • Revenue
  • Profit
  • Profit Margin
  • Customer Revenue
  • Product Metrics

Business Glossary

  • Business terminology
  • Data definitions
  • Analytical concepts

Powered by:

  • Qdrant Vector Database
  • Sentence Transformers
  • Semantic Search

AI Business Analyst

Users can ask questions such as:

What is our profit margin?

Which customer segment generates the most revenue?

What are our top products?

Generate an executive summary.

How is profit margin calculated?

The platform automatically routes the request to the appropriate AI agent.

System Architecture

                     ┌─────────────────────┐
                     │ Business CSV Files  │
                     └──────────┬──────────┘
                                │
                                ▼
                     ┌─────────────────────┐
                     │    ETL Pipeline     │
                     │ Pandas + Python     │
                     └──────────┬──────────┘
                                │
                                ▼
                     ┌─────────────────────┐
                     │ PostgreSQL Data     │
                     │ Warehouse           │
                     └──────────┬──────────┘
                                │

           ┌────────────────────┼────────────────────┐
           ▼                    ▼                    ▼

  ┌────────────────┐  ┌────────────────┐  ┌────────────────┐
  │ Finance Service│  │Customer Service│  │ Product Service│
  └────────┬───────┘  └────────┬───────┘  └────────┬───────┘
           │                   │                   │
           └──────────┬────────┴────────┬──────────┘
                      ▼                 ▼

              ┌─────────────────────────────┐
              │ LangGraph Supervisor Router │
              └──────────────┬──────────────┘
                             │

       ┌─────────────────────┼─────────────────────┐
       ▼                     ▼                     ▼

 ┌────────────┐      ┌────────────┐      ┌────────────┐
 │ Finance    │      │ Customer   │      │ Product    │
 │ Agent      │      │ Agent      │      │ Agent      │
 └─────┬──────┘      └─────┬──────┘      └─────┬──────┘
       │                   │                   │
       └───────────┬───────┴───────────┬───────┘
                   ▼                   ▼

           ┌─────────────────────────────┐
           │      Executive Agent        │
           └──────────────┬──────────────┘
                          │
                          ▼

           ┌─────────────────────────────┐
           │ Qdrant Vector Database      │
           │ Business Rules              │
           │ KPI Definitions             │
           │ Business Glossary           │
           └──────────────┬──────────────┘
                          │
                          ▼

           ┌─────────────────────────────┐
           │ Groq LLM Business Analyst   │
           └──────────────┬──────────────┘
                          │
                          ▼

           ┌─────────────────────────────┐
           │ Streamlit Dashboard         │
           │ KPI Cards                   │
           │ Executive Summary           │
           │ AI Business Analyst         │
           └─────────────────────────────┘

Data Warehouse Architecture

Fact Table

sales_fact

Stores:

  • Revenue
  • Sales
  • Profit
  • Orders
  • Business Metrics

Dimension Tables

customer_dim

  • Customer Details
  • Customer Segments

product_dim

  • Product Information
  • Product Categories

region_dim

  • Geographic Analytics

date_dim

  • Time Intelligence
  • Calendar Analytics

Dashboard Features

Executive KPI Overview

Displays:

  • Revenue
  • Profit
  • Profit Margin
  • Total Customers

AI Executive Summary

Automatically generates:

  • Business Overview
  • Revenue Insights
  • Profitability Analysis
  • Strategic Highlights

Revenue Trend Analysis

Interactive visualizations for:

  • Monthly Revenue
  • Growth Trends
  • Business Performance

Customer Analytics

Analyze:

  • Customer Segments
  • Segment Revenue
  • Customer Distribution

Product Analytics

Analyze:

  • Top Revenue Products
  • Product Performance
  • Product Revenue Rankings

AI Business Analyst

Natural language business intelligence powered by:

  • LangGraph
  • Groq LLM
  • RAG Knowledge Base

Example Questions

Finance

What is our profit margin?

Customer Analytics

Which customer segment generates the most revenue?

Product Analytics

What are our top products?

Executive Intelligence

Generate an executive summary.

Business Rules

How is profit margin calculated?

Tech Stack

Category Technology
Programming Language Python
Database PostgreSQL
Data Warehouse Star Schema
ETL Pandas
Analytics SQL
AI Orchestration LangGraph
LLM Groq
Vector Database Qdrant
Embeddings Sentence Transformers
Dashboard Streamlit
Visualization Plotly
Deployment Docker

Project Structure

MULTI-AGENT-BUSINESS-INTELLIGENCE-PLATFORM
│
├── agents/
│   ├── customer_agent.py
│   ├── executive_agent.py
│   ├── finance_agent.py
│   └── product_agent.py
│
├── analytics/
│   ├── customer_analysis.sql
│   ├── product_analysis.sql
│   └── profitability_analysis.sql
│
├── dashboard/
│   └── streamlit_app.py
│
├── data/
│   ├── raw/
│   └── processed/
│       ├── customer_dim.csv
│       ├── date_dim.csv
│       ├── product_dim.csv
│       ├── region_dim.csv
│       └── sales_fact.csv
│
├── database/
│   ├── connection.py
│   ├── create_tables.py
│   ├── schema.sql
│   ├── data_dictionary.md
│   └── star_schema.md
│
├── docker/
│   └── docker-compose.yml
│
├── docs/
│   └── architecture.md
│
├── etl/
│   ├── extract.py
│   ├── transform.py
│   ├── load.py
│   └── load_dimensions.py
│
├── knowledge_base/
│   ├── business_rules/
│   │   └── business_rules.md
│   │
│   ├── glossary/
│   │   └── business_glossary.md
│   │
│   ├── kpi_definitions/
│   │   └── kpis.md
│   │
│   └── company_docs/
│
├── llm/
│   ├── business_analyst.py
│   └── groq_client.py
│
├── notebooks/
│   └── 01_data_exploration.ipynb
│
├── reports/
│
├── screenshots/
│   ├── dashboard.png
│   ├── executive_summary.png
│   ├── revenue_trend.png
│   ├── monthly_revenue_trend.png
│   ├── ai_analyst.png
│   └── agent_routing.png
│
├── services/
│   ├── analytics_service.py
│   ├── customer_service.py
│   ├── finance_service.py
│   ├── executive_service.py
│   └── product_service.py
│
├── tests/
│   ├── test_analytics_service.py
│   ├── test_customer_service.py
│   ├── test_executive_service.py
│   ├── test_finance_service.py
│   ├── test_product_service.py
│   ├── test_graph.py
│   ├── test_groq.py
│   └── test_langgraph.py
│
├── utils/
│   └── pdf_generator.py
│
├── vector_db/
│   ├── embeddings.py
│   ├── ingest.py
│   ├── ingest_qdrant.py
│   ├── qdrant_client.py
│   ├── qdrant_manager.py
│   ├── rag_pipeline.py
│   ├── retriever.py
│   │
│   └── qdrant_data/
│       ├── collection/
│       ├── meta.json
│       └── .lock
│
├── workflow/
│   ├── chat_interface.py
│   ├── graph.py
│   ├── langgraph_orchestrator.py
│   ├── router.py
│   ├── state.py
│   ├── supervisor.py
│   ├── test_router.py
│   └── test_supervisor.py
│
├── .env
├── .gitignore
├── README.md
├── requirements.txt
├── executive_report.pdf
├── test_connection.py
├── test_db.py
├── check_columns.py
└── debug_product.py

Installation

Clone Repository

git clone https://github.com/yourusername/Multi-Agent-Business-Intelligence-Platform.git

cd Multi-Agent-Business-Intelligence-Platform

Install Dependencies

pip install -r requirements.txt

Configure Environment Variables

Create:

.env

Add:

GROQ_API_KEY=your_groq_api_key

Start PostgreSQL

docker compose up -d

Load Knowledge Base

python -m vector_db.ingest_qdrant

Launch Dashboard

streamlit run dashboard/streamlit_app.py

Docker Deployment

Build Containers:

docker compose build

Start Platform:

docker compose up

Production Engineering Features

This project demonstrates:

  • Data Engineering
  • Analytics Engineering
  • Data Warehousing
  • ETL Development
  • Multi-Agent AI Systems
  • Retrieval-Augmented Generation
  • Semantic Search
  • Business Intelligence
  • Executive Analytics
  • LLM Integration
  • Dashboard Development

Future Improvements

Advanced Analytics

  • Revenue Forecasting
  • Time-Series Analytics
  • Predictive Intelligence

Additional Agents

  • Marketing Agent
  • Operations Agent
  • Supply Chain Agent
  • Forecasting Agent

Enterprise Features

  • PDF Executive Reports
  • Scheduled Reporting
  • Email Delivery
  • Role-Based Access Control

Cloud Deployment

  • AWS
  • Azure
  • Kubernetes
  • CI/CD Pipelines

Why This Project Stands Out

Unlike traditional dashboard projects, this platform combines:

  • Data Warehousing
  • Business Intelligence
  • Multi-Agent AI
  • Retrieval-Augmented Generation
  • Executive Decision Support

into a single enterprise-grade analytics solution.

The project demonstrates real-world skills across:

  • Data Engineering
  • Analytics Engineering
  • AI Engineering
  • Business Intelligence
  • LLM Applications
  • Multi-Agent Systems

This closely resembles how modern enterprises are integrating AI into analytics and decision-making workflows.

About

AI-powered Multi-Agent Business Intelligence Platform featuring LangGraph orchestration, PostgreSQL data warehousing, Qdrant RAG, AI executive reporting, and interactive Streamlit analytics dashboards.

Topics

python machine-learning postgresql data-warehouse artificial-intelligence data-engineering multi-agent business-intelligence rag groq streamlit analytics-engineering qdrant llm enterprise-ai langgraph

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Readme

License

MIT license
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Multi Agent Business Intelligence Platform Latest
Jun 12, 2026

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