---
license: mit
title: Fastlane Chat GPT for e-commerce
sdk: gradio
emoji: 🚀
colorFrom: gray
colorTo: blue
short_description: This project is about a RAG system for e-commerce
---
## FastLane E-commerce Chatbot

This project provides a Retrieval-Augmented Generation (RAG) system that involves Elastisearch, OpenAI, FastAPI and Gradio components. The system is about an e-commerce chatbot for product and orders searches and leverages Natural Language Processing (NLP) for understanding user intent.  

**Modular Structure for Maintainability:**

The system was designed with a focus on maintainability and scalability. Here's a breakdown of the core components:

* **main.py:**  The entry point for the application, where the FastAPI app is defined and run.
* **models/ (Directory):**  Contains Pydantic models for data validation and defining data structures used throughout the application.  
    - `query.py`:  Defines models for user queries.
    - `product.py`:  Defines models for representing product data.
    - `customer.py`:  Defines models for representing customer data.
    - `order.py`:  Defines models for representing order data. 
* **services/ (Directory):**  Encapsulates the core business logic of the application.  
    - `elasticsearch.py`:  Handles interactions with the Elasticsearch instance for product searches.
    - `nlp.py`:  Provides functionalities for Natural Language Processing (NLP) to understand user intent.
    - `utils.py`: Provides functions that are used by several components of the system. 
* **routes/ (Directory):**  Defines API endpoints for interacting with the chatbot functionalities. Each feature has its dedicated module:  
    - `search_products.py`:  Handles routes related to product search functionalities.
    - `query_handler`:  Handles routes related to the processing of the query introduced by users. 
    - `purchase.py`:  Handles routes related to purchase functionalities (add to cart, checkout, etc.).
    - `order_management.py`:  Handles routes related to managing orders (tracking, history).
    - `account_management.py`:  Handles routes related to account management (sign-in, update information).
    - `customer_support.py`:  Handles routes related to customer support functionalities (returns, payments, etc.).

This modular structure promotes separation of concerns, making the code easier to understand, maintain, and extend in the future. 

**Getting Started:**

(Provide instructions on how to set up and run the application, including any dependencies or environment variables required.)

**Further Development:**

* Generating more comprehensive responses based on intent, entities, and search results.
* Enhance security features for handling sensitive user data.
* Implement user authentication and authorization mechanisms.