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Ecommerce Chatbot

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E-commerce Platforms AI Agents

 About Ecommerce Chatbot

E-commerce platform powered by agents with vector search, recommendations, order/cart management capabilities.

Platforms

Web Self-hosted

Languages

TypeScript

Links

Website Source Code

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Ecommerce Chatbot

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S-TORE: AI-Powered E-commerce Platform

A full-stack e-commerce platform featuring an intelligent AI shopping assistant, vector-based product search with Pinecone, and a modern React/Next.js frontend. Chatbot with advanced product search, recommendations, and order/cart management.

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Features

AI Shopping Assistant

  • Natural language product search and recommendations
  • State-of-the-art AI with 1M token context window
  • Advanced conversation memory and tool orchestration
  • AI-driven product suggestions based on user behavior

Advanced Search & Discovery

  • Vector-based product discovery using Pinecone
  • Find products by description, features, or use cases
  • Price range, brand, category, ratings, and availability
  • Context-aware product suggestions

Complete E-commerce Experience

  • Persistent cart with real-time updates
  • Favorites, likes, and personalized settings
  • Real-time stock management and availability

Architecture

├── Frontend (Next.js)
│   ├── Modern UI
│   ├── Responsive design & animations
│   ├── Real-time chat interface
│   └── Shopping cart & product pages
│
├── Backend API (Flask + Python)
│   ├── RESTful API endpoints
│   ├── JWT authentication
│   ├── Database models & services
│   └── AI chatbot integration
│
├── AI Services
│   ├── Google Gemini Flash 2.0
│   ├── LangChain orchestration
│   ├── Pinecone vector database
│   └── Sentence Transformers
│
└── Data Layer
    ├── SQLite database (for dev)
    ├── Vector embeddings
    └── Session management

Quick Start

Prerequisites

  • Node.js 18+ (for frontend)
  • Python 3.12+ (for backend)
  • Google AI Studio API key
  • Pinecone account and API key

Tech

  • Language Model: Google Gemini Flash 2.0
  • Framework: LangChain for orchestration
  • Vector Database: Pinecone for semantic search
  • Embeddings: Sentence Transformers

Development Guidelines

  • Follow TypeScript/Python best practices
  • Add tests for new features
  • Update documentation
  • Ensure code passes linting

License

This project is licensed under the MIT License - see the LICENSE file for details.