This is a QA chatbot created using Langchain and Cloud Vector Store, and built with the Streamlit interface.
This chatbot is designed to answer user questions based on a pre-trained knowledge base. It uses Langchain for natural language processing and Cloud Vector Store for storing and retrieving the knowledge base.
- User-friendly interface built with Streamlit
- Natural language processing powered by Langchain
- Knowledge base storage and retrieval using Cloud Vector Store
To run the chatbot locally, follow these steps:
- Clone the repository
https://github.com/hargurjeet/VectoreStore_Streamlit_Projects.git - Install the required dependencies using
pip install -r requirements.txt - Run the application using
streamlit run app.py
Once the application is running, you can interact with the chatbot by asking questions in the provided input field. The chatbot will process the question and provide an answer based on the knowledge base.
If you would like to contribute to this project, please fork the repository and submit a pull request with your changes.
This project is licensed under the MIT License - see the LICENSE file for details.
If you have any questions or feedback, feel free to contact the project maintainer at email address.