Skip to content

Retail AI Documentation

Welcome to the Retail AI multi-agent system documentation. This system provides intelligent retail management capabilities through AI-powered agents, Unity Catalog functions, and vector search technologies.

What is Retail AI?

Retail AI is a comprehensive multi-agent system designed for retail operations, featuring:

  • Product Management: Intelligent product search, comparison, and recommendation
  • Inventory Management: Real-time inventory tracking across stores and warehouses
  • Customer Interaction: Natural language interfaces for customer service
  • Data Integration: Seamless integration with Databricks and Unity Catalog

Key Features

🤖 AI-Powered Agents

Multi-agent system with specialized roles for different retail operations

Vector-based semantic search for products and inventory

📊 Real-time Data

Live inventory and product data through Unity Catalog functions

🛠️ Extensible Tools

Modular tool architecture for easy customization and extension

🎯 Store-Specific Operations

Location-aware functionality for multi-store operations

Quick Start

Get started with Retail AI in minutes:

# Clone the repository
git clone https://github.com/your-org/retail-ai.git
cd retail-ai

# Install dependencies
pip install -r requirements.txt

# Configure your environment
cp .env.example .env
# Edit .env with your Databricks credentials

# Run the setup
python 04_unity_catalog_tools.py

Architecture Overview

graph TB
    A[User Interface] --> B[AI Agents]
    B --> C[LangChain Tools]
    B --> D[Unity Catalog Functions]
    B --> E[Vector Search]

    C --> F[Product Management]
    C --> G[Inventory Management]

    D --> H[Databricks SQL Warehouse]
    E --> I[Vector Index]

    H --> J[Product Data]
    H --> K[Inventory Data]
    I --> L[Product Embeddings]

Use Cases

Store Manager Assistant

Help store managers with inventory checks, product recommendations, and customer inquiries.

Customer Service Agent

Provide intelligent customer support with product information and availability.

Inventory Analyst

Analyze inventory levels, predict demand, and optimize stock management.

Product Specialist

Compare products, analyze features, and provide detailed product information.

Getting Help

  • 📖 Documentation: Browse the comprehensive guides and API reference
  • 🐛 Issues: Report bugs and request features on GitHub
  • 💬 Discussions: Join the community discussions
  • 📧 Support: Contact the development team

Next Steps