Açelya

This application was developed as part of the Apsiyon Hackathon. 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.

Features

• RAG: Can answer all questions related to Apsiyon
• Dictionary: Provides definitions for real estate terms
• Appointment: The customer can schedule an appointment for a suitable time and day
• Persuasive: Uses a convincing and warm language to persuade the customer
• Conversation Logs: The customer representative can review conversation logs and see a summary of the conversation

Technologies Used

• OpenAI - OpenAI version: 1.35.14
• LangChain - LangChain version: 0.2.5
• Streamlit - Streamlit version: 1.36.0

Architecture

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Requirements

Environment

Ensure that your Python version is set to 3.10.12 (pip version is 24.1.2):

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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acelyademo.mp4