DLS AI Chatbot — Developer Guide

This repository contains the static developer documentation for the DLS AI Chatbot. It serves as an architectural manual for team members to understand the chatbot's Retrieval-Augmented Generation (RAG) workflow, Pinecone database integration, and Groq API usage.

Architecture

This is a purely static website. It bypasses complex frameworks to remain lightweight and immediately accessible. It does not require Node.js, npm, or any build processes.

• Tech Stack: Vanilla HTML5, CSS3, JavaScript.
• Role: Acts as a submodule linked within the main Dls-AI-Chatbot backend repository.

How to Run Locally

Because there is no build step or package.json, commands like npm start or npm run dev will fail. You must use a local static web server to view the site correctly.

Option 1: VSCode Live Server (Recommended)

1. Install the "Live Server" extension in VSCode.
2. Open index.html in your editor.
3. Click "Go Live" in the bottom right corner of the VSCode status bar, or right-click the file and select "Open with Live Server".

Option 2: Python HTTP Server

1. Open your terminal and navigate into this website's directory.
2. Run the following command:

   python -m http.server 8000