Welcome to Bulk Chain Shell! This project offers a shell client designed for schema-based reasoning over your data using a custom LLM provider. Whether you're looking to streamline your data processes or enhance your reasoning capabilities, Bulk Chain Shell provides the tools you need.
- Schema-Based Reasoning: Work with your data in a structured way.
- Custom LLM Provider: Integrate with various LLMs to suit your needs.
- Declarative Approach: Write clear and concise commands.
- User-Friendly Shell Interface: Navigate through your data effortlessly.
- Pipeline Support: Build complex workflows with ease.
- SQLite3 Integration: Leverage the power of SQLite3 for data storage and retrieval.
This project covers a range of important topics in the realm of data processing and reasoning:
- Bulk
- Chain-of-Thought (COT)
- Declarative Programming
- GPT Integration
- Inference Techniques
- Large Language Models (LLM)
- Pipeline Development
- Reasoning Mechanisms
- Shell Operations
- SQLite3 Database Management
- User Interface (UI) Design
To get started with Bulk Chain Shell, you need to download the latest release. You can find it here. Follow the instructions below to set up the project on your local machine.
Before you begin, ensure you have the following installed:
- Python 3.x: Make sure Python is installed on your system.
- SQLite3: This is required for data management.
- A Terminal or Shell: Access to a command-line interface is essential.
- Download the Latest Release: Go to the Releases section and download the latest version.
- Extract the Files: Unzip the downloaded file to your desired location.
- Navigate to the Directory: Open your terminal and navigate to the directory where you extracted the files.
- Run the Shell Client: Execute the shell client using the command:
python bulk_chain_shell.py
Once the shell client is running, you can start using the commands to interact with your data. Here are some examples of how to use the client:
-
Load Data: Load your data into the shell using:
load data <your_data_file>
-
Run Reasoning Queries: Perform schema-based reasoning with:
query "What is the relationship between X and Y?" -
Save Results: Save your results back to SQLite3 with:
save results to <your_database>
Here are a few example commands you can run in the Bulk Chain Shell:
-
List Available Datasets:
list datasets
-
Get Schema Information:
schema info <dataset_name>
-
Perform Inference:
infer "Given A, what is B?"
We welcome contributions to Bulk Chain Shell! If you would like to contribute, please follow these steps:
- Fork the Repository: Click on the fork button at the top right of the repository page.
- Clone Your Fork: Clone your forked repository to your local machine.
git clone https://github.com/yourusername/bulk-chain-shell.git
- Create a New Branch: Create a new branch for your feature or fix.
git checkout -b feature/your-feature-name
- Make Your Changes: Implement your changes in the code.
- Commit Your Changes: Commit your changes with a descriptive message.
git commit -m "Add your feature or fix description" - Push to Your Fork: Push your changes to your forked repository.
git push origin feature/your-feature-name
- Open a Pull Request: Go to the original repository and click on "New Pull Request".
This project is licensed under the MIT License. See the LICENSE file for details.
We would like to thank the open-source community for their contributions and support. Special thanks to the developers of the libraries and tools that make this project possible.
For any inquiries or support, please reach out via GitHub issues or contact the maintainers directly.
For more information and resources related to Bulk Chain Shell, check out the following links:
Feel free to explore the capabilities of Bulk Chain Shell and see how it can enhance your data reasoning processes. Don't forget to download the latest release here and start your journey today!