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AnswerLLM

AnswerLLM is a sophisticated Question and Answer system that leverages pre-learned question-answer pairs to provide accurate and relevant responses to user queries. It is designed to offer quick and reliable information retrieval for various applications.

Features

  • Pre-Learned Question-Answers: Utilizes a database of pre-learned question-answer pairs to answer queries efficiently.

  • High Accuracy: Designed to deliver highly accurate answers based on the trained dataset.

  • User Authentication: Secure user authentication to manage access and user interactions.

  • Scalable Architecture: Built to handle multiple queries simultaneously with a robust backend.

  • User-Friendly Interface: Provides a clean and intuitive user interface for easy interaction.

Tech Stacks

  • Frontend: Built with Streamlit, offering a modern and responsive user experience.

  • Backend: Python and Langchain for handling server-side operations, with a MongoDB database to store question-answer pairs.

Getting Started

To run this application locally, follow these steps:

Configure MongoDB:

  1. Set up a MongoDB database.
  2. Add your MongoDB connection string to the project configuration.

Install Dependencies:

git clone https://github.com/shaharsh624/AnswerLLM
cd AnswerLLM
npm install

Run the Application:

npm run dev

Visit the application at: http://localhost:3000

Contributing

I welcome contributions from developers, designers, and anyone passionate about improving the Question and Answer system. Please feel free to submit issues, fork the repository, and send pull requests.