| Name | graphfleet JSON |
| Version |
0.7.5
JSON |
| download |
| home_page | None |
| Summary | A graph-based knowledge management and query system |
| upload_time | 2024-12-25 22:48:18 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
graph
knowledge
search
semantic
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# GraphFleet
A powerful graph-based knowledge management and query system designed for large-scale data processing and analysis. GraphFleet combines semantic search, knowledge graphs, and advanced analytics to provide deep insights into your data.
## ๐ Key Features
- **Advanced Document Processing**
- Semantic indexing and search
- Automatic knowledge graph construction
- Multi-format document support (PDF, Markdown, Code, etc.)
- **Graph Analytics**
- Custom query pipelines
- Concept drift analysis
- Community detection
- Path analysis and recommendations
- **Performance & Scale**
- Distributed processing support
- Native extensions for performance-critical operations
- Efficient batch processing
- Real-time query capabilities
- **Developer Experience**
- Modern React frontend
- RESTful and GraphQL APIs
- Comprehensive documentation
- Docker-based development environment
## ๐๏ธ Architecture
GraphFleet consists of three main components:
1. **Core Engine (graphfleet)**
- Document processing and indexing
- Knowledge graph management
- Query processing
2. **Graph Processing (graspologic)**
- Graph algorithms implementation
- Analytics and metrics
- Visualization utilities
3. **Native Extensions (graspologic-native)**
- Performance-critical operations in Rust
- SIMD optimizations
- Custom memory management
## ๐ ๏ธ Installation
### Using uv
```bash
# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install graphfleet
uv pip install graphfleet[all]
```
### Development Setup
1. Clone the repository:
```bash
git clone https://github.com/qredence/graphfleet.git
cd graphfleet
```
2. Set up development environment:
```bash
# Using Docker (recommended)
docker compose up -d
# Or manual setup
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dependencies with uv
uv pip install --upgrade uv # Ensure latest uv version
uv pip install build hatchling # Install build tools
uv sync # Install all dependencies from pyproject.toml
uv pip install -e ".[dev]" # Install package in editable mode
```
3. Configure environment:
```bash
cp .env.example .env
# Edit .env with your settings
```
## ๐ Documentation
- [Getting Started Guide](./docs/guides/getting-started.md)
- [API Reference](./docs/api/README.md)
- [Architecture Overview](./docs/architecture/README.md)
- [Contributing Guidelines](./CONTRIBUTING.md)
## ๐งช Examples
The `examples/` directory contains various use cases and tutorials:
- Basic document indexing and search
- Custom query pipeline creation
- Knowledge graph visualization
- Performance optimization techniques
## ๐ฃ๏ธ Project Structure
```
graphfleet/
โโโ backend/ # Backend service
โ โโโ app/ # Main application code
โ โ โโโ api/ # API endpoints
โ โ โโโ core/ # Core business logic
โ โ โโโ models/ # Data models
โ โ โโโ utils/ # Utility functions
โ โโโ graphfleet/ # GraphFleet core library
โ โโโ tests/ # Backend tests
โโโ graspologic/ # Graph processing library
โ โโโ src/ # Source code
โ โโโ tests/ # Tests
โ โโ๏ฟฝ๏ฟฝ docs/ # Library documentation
โโโ graspologic-native/ # Native extensions
โ โโโ src/ # Rust/C++ source
โ โโโ python/ # Python bindings
โโโ frontend/ # Frontend application
โโโ docs/ # Project documentation
```
## ๐ค Contributing
We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.
### Development Process
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests and linting
5. Submit a pull request
## ๐ License
This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
## ๐ Security
For security concerns, please refer to our [Security Policy](SECURITY.md).
## ๐ Acknowledgments
GraphFleet is built on top of several amazing open-source projects:
- [NetworkX](https://networkx.org/)
- [FastAPI](https://fastapi.tiangolo.com/)
- [React](https://reactjs.org/)
- [sentence-transformers](https://www.sbert.net/)
## โจ Core Team
- Zachary BENSALEM ([@zbensalem](https://github.com/zbensalem)) - Project Lead
Raw data
{
"_id": null,
"home_page": null,
"name": "graphfleet",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.10",
"maintainer_email": null,
"keywords": "graph, knowledge, search, semantic",
"author": null,
"author_email": "Zachary BENSALEM <contact@qreddence.ai>",
"download_url": "https://files.pythonhosted.org/packages/d8/9d/b87c21808f7f541350ed26f52dab7239efe32bfe3ac617160307135e28aa/graphfleet-0.7.5.tar.gz",
"platform": null,
"description": "# GraphFleet\n\nA powerful graph-based knowledge management and query system designed for large-scale data processing and analysis. GraphFleet combines semantic search, knowledge graphs, and advanced analytics to provide deep insights into your data.\n\n## \ud83d\ude80 Key Features\n\n- **Advanced Document Processing**\n - Semantic indexing and search\n - Automatic knowledge graph construction\n - Multi-format document support (PDF, Markdown, Code, etc.)\n\n- **Graph Analytics**\n - Custom query pipelines\n - Concept drift analysis\n - Community detection\n - Path analysis and recommendations\n\n- **Performance & Scale**\n - Distributed processing support\n - Native extensions for performance-critical operations\n - Efficient batch processing\n - Real-time query capabilities\n\n- **Developer Experience**\n - Modern React frontend\n - RESTful and GraphQL APIs\n - Comprehensive documentation\n - Docker-based development environment\n\n## \ud83c\udfd7\ufe0f Architecture\n\nGraphFleet consists of three main components:\n\n1. **Core Engine (graphfleet)**\n - Document processing and indexing\n - Knowledge graph management\n - Query processing\n\n2. **Graph Processing (graspologic)**\n - Graph algorithms implementation\n - Analytics and metrics\n - Visualization utilities\n\n3. **Native Extensions (graspologic-native)**\n - Performance-critical operations in Rust\n - SIMD optimizations\n - Custom memory management\n\n## \ud83d\udee0\ufe0f Installation\n\n### Using uv\n\n```bash\n# Install uv if you haven't already\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Install graphfleet\nuv pip install graphfleet[all]\n```\n\n### Development Setup\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/qredence/graphfleet.git\ncd graphfleet\n```\n\n2. Set up development environment:\n```bash\n# Using Docker (recommended)\ndocker compose up -d\n\n# Or manual setup\npython -m venv .venv\nsource .venv/bin/activate # On Windows: .venv\\Scripts\\activate\n\n# Install dependencies with uv\nuv pip install --upgrade uv # Ensure latest uv version\nuv pip install build hatchling # Install build tools\nuv sync # Install all dependencies from pyproject.toml\nuv pip install -e \".[dev]\" # Install package in editable mode\n```\n\n3. Configure environment:\n```bash\ncp .env.example .env\n# Edit .env with your settings\n```\n\n## \ud83d\udcda Documentation\n\n- [Getting Started Guide](./docs/guides/getting-started.md)\n- [API Reference](./docs/api/README.md)\n- [Architecture Overview](./docs/architecture/README.md)\n- [Contributing Guidelines](./CONTRIBUTING.md)\n\n## \ud83e\uddea Examples\n\nThe `examples/` directory contains various use cases and tutorials:\n\n- Basic document indexing and search\n- Custom query pipeline creation\n- Knowledge graph visualization\n- Performance optimization techniques\n\n## \ud83d\udee3\ufe0f Project Structure\n\n```\ngraphfleet/\n\u251c\u2500\u2500 backend/ # Backend service\n\u2502 \u251c\u2500\u2500 app/ # Main application code\n\u2502 \u2502 \u251c\u2500\u2500 api/ # API endpoints\n\u2502 \u2502 \u251c\u2500\u2500 core/ # Core business logic\n\u2502 \u2502 \u251c\u2500\u2500 models/ # Data models\n\u2502 \u2502 \u2514\u2500\u2500 utils/ # Utility functions\n\u2502 \u251c\u2500\u2500 graphfleet/ # GraphFleet core library\n\u2502 \u2514\u2500\u2500 tests/ # Backend tests\n\u251c\u2500\u2500 graspologic/ # Graph processing library\n\u2502 \u251c\u2500\u2500 src/ # Source code\n\u2502 \u251c\u2500\u2500 tests/ # Tests\n\u2502 \u2514\u2500\ufffd\ufffd docs/ # Library documentation\n\u251c\u2500\u2500 graspologic-native/ # Native extensions\n\u2502 \u251c\u2500\u2500 src/ # Rust/C++ source\n\u2502 \u2514\u2500\u2500 python/ # Python bindings\n\u251c\u2500\u2500 frontend/ # Frontend application\n\u2514\u2500\u2500 docs/ # Project documentation\n```\n\n## \ud83e\udd1d Contributing\n\nWe welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.\n\n### Development Process\n\n1. Fork the repository\n2. Create a feature branch\n3. Make your changes\n4. Run tests and linting\n5. Submit a pull request\n\n## \ud83d\udcc4 License\n\nThis project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.\n\n## \ud83d\udd12 Security\n\nFor security concerns, please refer to our [Security Policy](SECURITY.md).\n\n## \ud83c\udf1f Acknowledgments\n\nGraphFleet is built on top of several amazing open-source projects:\n\n- [NetworkX](https://networkx.org/)\n- [FastAPI](https://fastapi.tiangolo.com/)\n- [React](https://reactjs.org/)\n- [sentence-transformers](https://www.sbert.net/)\n\n## \u2728 Core Team\n\n- Zachary BENSALEM ([@zbensalem](https://github.com/zbensalem)) - Project Lead\n",
"bugtrack_url": null,
"license": null,
"summary": "A graph-based knowledge management and query system",
"version": "0.7.5",
"project_urls": null,
"split_keywords": [
"graph",
" knowledge",
" search",
" semantic"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "0c690b6eb1b0a2683dcb86760838dd7854c7de7d7b3ce55aa12a19e9919d2bfc",
"md5": "95a20ae6fc81f4a710c547321ccdb290",
"sha256": "83537a199993c151f88c6476739f2414af37c0691b381f210653e465250ed5fc"
},
"downloads": -1,
"filename": "graphfleet-0.7.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "95a20ae6fc81f4a710c547321ccdb290",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.10",
"size": 53229,
"upload_time": "2024-12-25T22:48:15",
"upload_time_iso_8601": "2024-12-25T22:48:15.901452Z",
"url": "https://files.pythonhosted.org/packages/0c/69/0b6eb1b0a2683dcb86760838dd7854c7de7d7b3ce55aa12a19e9919d2bfc/graphfleet-0.7.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "d89db87c21808f7f541350ed26f52dab7239efe32bfe3ac617160307135e28aa",
"md5": "78c02181214052f31d5984160e9eae38",
"sha256": "634c7bc992b036ec3f82a1b2ecb99c3b57778756d4db2f4542b4732fabd4da2d"
},
"downloads": -1,
"filename": "graphfleet-0.7.5.tar.gz",
"has_sig": false,
"md5_digest": "78c02181214052f31d5984160e9eae38",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.10",
"size": 34903,
"upload_time": "2024-12-25T22:48:18",
"upload_time_iso_8601": "2024-12-25T22:48:18.956962Z",
"url": "https://files.pythonhosted.org/packages/d8/9d/b87c21808f7f541350ed26f52dab7239efe32bfe3ac617160307135e28aa/graphfleet-0.7.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-25 22:48:18",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "graphfleet"
}
