AAIDC Project 1

Project Overview

This project was developed as part of the Ready Tensor course.
The primary objective was to develop a straightforward RAG (Retrieval-Augmented Generation) chatbot that retrieves answers from knowledge documents and generates human-like responses.

Technologies Used

• Python
• LangChain
• OpenAI API
• FAISS Vector Database
• VS Code (development environment)
• Git & GitHub (version control and collaboration)

How I Built the Project

1. Environment Setup

   • Installed Python and created a virtual environment.
   • Installed required libraries such as langchain, openai, and faiss.

2. Code Development

   • Loaded text documents into the program.
   • Split documents into chunks using CharacterTextSplitter.
   • Generated embeddings with OpenAI.
   • Stored embeddings in a FAISS vector database.
   • Built a RetrievalQA chain to enable question answering.
   • Tested the chatbot using the command line interface.

3. Uploading to GitHub

   • Created a new repository on GitHub.
   • Initialized Git in the local project folder and connected it to the remote repo.
   • Added and committed all project files.
   • Pushed the project to GitHub using git push.

How to Run the Project

1. Clone the repository:

   https://github.com/Marium369/AAIDC_Project-1--RAG-based-Chatbot.git