Q-A-System

The "Codebasics Q&A" project is an end-to-end Question and Answer (Q&A) system developed for Codebasics, an e-learning company specializing in data-related courses and bootcamps. The system is designed to assist students who typically ask questions via Discord or email by providing instant, automated responses.

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Codebasics Q&A: Question and Answer System Based on Google Palm LLM and Langchain for E-learning company

This is an end to end LLM project based on Google Palm and Langchain. We are building a Q&A system for an e-learning company called codebasics (website: codebasics.io). Codebasics sells data related courses and bootcamps. They have thousands of learners who uses discord server or email to ask questions. This system will provide a streamlit based user interface for students where they can ask questions and get answers.

Project Highlights

  • Use a real CSV file of FAQs that Codebasics company is using right now.
  • Their human staff will use this file to assist their course learners.
  • We will build an LLM based question and answer system that can reduce the workload of their human staff.
  • Students should be able to use this system to ask questions directly and get answers within seconds

You will learn following,

  • Langchain + Google Palm: LLM based Q&A
  • Streamlit: UI
  • Huggingface instructor embeddings: Text embeddings
  • FAISS: Vector databse

Installation

1.Clone this repository to your local machine using:

    git clone https://github.com/Salman-Khan-Mohammed/Q-A-System-.git

2.Navigate to the project directory:

  cd 3_project_codebasics_q_and_a
  1. Install the required dependencies using pip:
  pip install -r requirements.txt

4.Acquire an api key through makersuite.google.com and put it in .env file

  GOOGLE_API_KEY="your_api_key_here"

Usage

  1. Run the Streamlit app by executing:
streamlit run main.py

2.The web app will open in your browser.

  • To create a knowledebase of FAQs, click on Create Knolwedge Base button. It will take some time before knowledgebase is created so please wait.

  • Once knowledge base is created you will see a directory called faiss_index in your current folder

  • Now you are ready to ask questions. Type your question in Question box and hit Enter

Sample Questions

  • Do you guys provide internship and also do you offer EMI payments?
  • Do you have javascript course?
  • Should I learn power bi or tableau?
  • I've a MAC computer. Can I use powerbi on it?
  • I don't see power pivot. how can I enable it?

Project Structure

  • Streamlit_code.py: The main Streamlit application script.
  • Main_code.py: This has all the langchain code
  • requirements.txt: A list of required Python packages for the project.
  • .env: Configuration file for storing your Google API key.

Screenshots

Demo 1

Demo 2

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