BrainBox is your all-in-one research assistant that leverages AI to provide comprehensive research support. Discover sources, analyze content, and save notes effortlessly, ensuring you always have relevant information at your fingertips.
We built Wiz Search using the following components:
- LLM: [Falcon 11b & 180b] for natural language understanding and generation.
- Embeddings: jina-embeddings-v2-base-en to enhance search relevance.
- Intelligent Search: Tavily for advanced search capabilities.
- Vector/SQL Databases: TiDB for efficient data storage and retrieval.
- Observability: Langfuse for monitoring and observability.
- UI: Streamlit for creating an interactive and user-friendly interface.
- Clone the repo
git clone https://github.com/SSK-14/BrainBox.ai.git
- Install required libraries
- Create virtual environment
pip3 install virtualenv
python3 -m venv {your-venvname}
source {your-venvname}/bin/activate
- Install required libraries
pip3 install -r requirements.txt
- Activate your virtual environment
source {your-venvname}/bin/activate
- Set up your
secrets.tomlfile
- Copy
example.secrets.tomlintosecrets.tomland replace the keys
- Running
streamlit run app.py
Contributions to this project are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request on the project's GitHub repository.
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code as per the terms of the license.