Skip to main contentPractical examples and tutorials for building applications with Gravix’s AI infrastructure. All cookbooks include complete code and step-by-step instructions.
Categories
- AI Inference: Chat applications, multi-agent systems, and automated workflows
- Vectors: RAG systems, semantic search, and knowledge base implementations
- Memory: Persistent context systems and personalized AI applications
- AgentBox: Secure sandbox environments for code execution and data analysis
All cookbooks are available in our GitHub repository.ons that learn and adapt over time.
Getting Started
Each cookbook is designed to be:
- Complete: Full working examples with all necessary code and dependencies
- Practical: Real-world applications you can adapt for your use cases
- Educational: Step-by-step explanations of concepts and implementation details
- Production-Ready: Best practices for scaling and deploying your applications
Prerequisites
Most cookbooks assume basic familiarity with:
- Python programming and Jupyter notebooks
- API concepts and HTTP requests
- Basic understanding of AI/ML concepts
Repository Access
All cookbooks are available in our GitHub repository where you can:
- Clone and run examples locally
- Contribute your own cookbooks
- Report issues and suggest improvements
- Access the latest updates and new examples
Ready to build? Choose a category below to explore practical implementations and start building with Gravix. 
