🚀 Empowering the community with cutting-edge AI technologies and battle-tested solutions
TorchV is committed to open-sourcing our production-grade AI algorithms, tools, and best practices accumulated from serving enterprise clients in large-scale AI implementations.
We believe in giving back to the open source community by sharing:
- ⚡ Performance-optimized algorithms from real-world deployments
- 🛠️ Production-ready tools that solve common AI engineering challenges
- 📚 Best practices learned from enterprise-scale implementations
- 🔬 Research insights from our AI product development
Our open source ecosystem is built around three core product lines, each addressing different aspects of AI application development:
| Generation | Product | Focus Area | Key Innovation |
|---|---|---|---|
| Gen 1 | TorchV RAG | RAG + Agent Development | Multi-modal RAG pipeline with Agent orchestration |
| Gen 2 | TorchV AIS | Knowledge Collaboration | Enterprise-scale knowledge management & AI workflow |
| Gen 3 | TorchV KBS | Digital Workforce | AI Agent as autonomous digital employees |
We're actively open-sourcing components from our commercial products to benefit the community:
Fast integration SDK for TorchV products
- 🚀 Quick setup and deployment tools
- 🔧 Production-ready configurations
- 📖 Comprehensive documentation and examples
- ⚡ Optimized for enterprise environments
Advanced document parsing library
- 📊 PDF parsing with layout preservation
- 📝 Word document structure extraction
- 🔍 Table reconstruction with high accuracy
- 🎯 Multi-format support for enterprise documents
- 🔬 Research-grade algorithms from production use cases
We welcome contributions from the community! Here's how you can get involved:
- 🐛 Report bugs and request features via Issues
- 💡 Submit improvements through Pull Requests
- 📚 Improve documentation and examples
- 🌟 Star repositories you find useful
- 🗣️ Share your use cases and feedback
- 🌐 Website: torchv.com
- 💬 Community: Join our developer discussions
- 📧 Contact: Reach out for collaboration opportunities
⭐ If you find our work helpful, please consider starring our repositories to support the project!