CyberBot

CyberBot is a cybersecurity chatbot built using Meta LLaMA LLM and VectorStore. It generates embeddings and uses LLM reasoning to answer cybersecurity-related questions, providing the source of the information. The project leverages Retrieval-Augmented Generation (RAG) and Chainlit for creating a ChatGPT-like UI.

Features

• Meta LLaMA LLM: Utilizes Meta LLaMA for language model capabilities.
• VectorStore: Stores and retrieves embeddings for efficient querying.
• RAG: Combines retrieval and generation for accurate and context-aware responses.
• Chainlit UI: Provides an interactive ChatGPT-like user interface.

Installation

1. Clone the repository:

   git clone https://github.com/Dash10107/CyberBot.git
   cd CyberBot

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

Running the Chatbot

To run the chatbot locally, use the following command:

chainlit run model.py

Changing Embeddings

If you need to change the embeddings, run the ingest.py script:

python ingest.py