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https://github.com/ssk-14/brainbox.ai
BrainBox is your all-in-one research assistant that leverages AI to provide comprehensive research support.
https://github.com/ssk-14/brainbox.ai
langfuse rag streamlit tavily tidb tidb-vector
Last synced: 11 days ago
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BrainBox is your all-in-one research assistant that leverages AI to provide comprehensive research support.
- Host: GitHub
- URL: https://github.com/ssk-14/brainbox.ai
- Owner: SSK-14
- License: mit
- Created: 2024-07-31T16:15:10.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-08-18T16:49:55.000Z (3 months ago)
- Last Synced: 2024-08-19T03:45:02.093Z (3 months ago)
- Topics: langfuse, rag, streamlit, tavily, tidb, tidb-vector
- Language: Python
- Homepage: https://brain-box.streamlit.app/
- Size: 1.7 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🤖 BrainBox : Your Personal Research Assistant
> 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.
## How we built it 🛠️
We built Wiz Search using the following components:
- **LLM:** [Falcon 11b & 180b] for natural language understanding and generation.
- **Embeddings:** [jina-embeddings-v2-base-en](https://jina.ai/embeddings/) to enhance search relevance.
- **Intelligent Search:** [Tavily](https://tavily.com/) for advanced search capabilities.
- **Vector/SQL Databases:** [TiDB](https://www.pingcap.com/tidb/) for efficient data storage and retrieval.
- **Observability:** [Langfuse](https://www.langfuse.com/) for monitoring and observability.
- **UI:** [Streamlit](https://streamlit.io/) for creating an interactive and user-friendly interface.
## Run The Application ⚙️
1. Clone the repo
```
git clone https://github.com/SSK-14/BrainBox.ai.git
```
2. 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
```
3. Set up your `secrets.toml` file
- Copy `example.secrets.toml` into `secrets.toml` and replace the keys
4. Running
```
streamlit run app.py
```
## Contributing 🤝
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.
## License 📝
This project is licensed under the [MIT License](https://github.com/SSK-14/BrainBox.ai/blob/main/LICENSE). Feel free to use, modify, and distribute the code as per the terms of the license.