NeuralQuery This project implements a Q&A chatbot using the LangChain framework and Ollama models in a Streamlit application The chatbot processes user queries and provides helpful responses based on selected language models. Features Dynamic Model Selection: Choose between various Ollama models (e.g., Phi3, gemma:2b). Customizable Parameters: Adjust response temperature and maximum token length via a sidebar. Streamlined UI: A simple and intuitive interface for asking questions and receiving answers. Prerequisites Before running the application, ensure you have the following: Python 3.9 or later Required Python libraries A LangChain API key Streamlit for creating the web interface