Project Description

This project is a conversational application that utilizes various language models and embedding techniques to implement Q&A and dialogue functionalities. Users can choose different conversation modes, including normal mode, retrieval Q&A mode without history, and retrieval Q&A mode with history.

Main Packages and Versions

streamlit: Framework for building web applications langchain: Library for building language model chains chromadb: Library for vector databases zhipuai_embedding: ZhipuAI embedding model .env: Library for loading environment variables

Environment Configuration

• Python Version: 3.8 and above
• Install Dependencies:

pip install streamlit langchain chromadb zhipuai_embedding python-dotenv

• Environment Variables Configuration: Create a .env file in the project root directory and add the following content:

Running the Project

• Start the Application:
  streamlit run streamlit_app.py
• Access the Application: Open http://localhost:8501 in your browser to access the application interface.