Vecihi

This application was developed as part of the TravelX Ideathon. It's a RAG-LLM-GenAI based chatbot designed to answer questions on customers' minds. You send your question and the chatbot generates the most appropriate answer from vectordb or agent.

Features:

• Buy ticket: Finding and purchasing tickets can be done by just talking
• RAG: Can answer all questions about THY and aviation
• Dictionary: Provides definitions for aviation terms
• Native: Speaks a native language
• Trip plan: You can create a detailed trip plan for the destination
• Seat matching: Pairs people with similar tastes for a better travel experience

Technologies Used

• OpenAI - OpenAI version: 1.35.14
• LangChain - LangChain version: 0.2.5
• Streamlit - Streamlit version: 1.38.0

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Requirements

Environment

Ensure that your Python version is set to 3.12.3 (pip version is 24.0):

python --version

• Setting up Virtualenv:

pip install virtualenv

• Creating a Virtual Environment:

virtualenv venv

• Activating the Virtual Environment:

source venv/bin/activate

• Installing the necessary libraries:

pip install -r requirements.txt

Configuration

• Set up your .env file:

cd <project-directory>

- Create the .env file and add your OPENAI_API_KEY:

    OPENAI_API_KEY='key' # .env file

Create VectorDB

python3 create_database.py

Run

• Launch the Streamlit app in terminal:

streamlit run app.py

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vecihi_demo.mp4