Blueprints

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A foundational series of blueprints for generating synthetic data with Gretel.

Blueprint link	Type	Description
Create GDPR-ready synthetic customer data	Safe Synthetics	Develop privacy-protected synthetic versions of customer datasets containing personal identifiers. Transform sensitive fields and generate realistic synthetic data that maintains analytical utility while implementing GDPR privacy principles.
Getting started with Data Designer	Data Designer	This comprehensive introduction to Gretel's Data Designer will walk you through the essential concepts and techniques you need to generate high-quality synthetic data for your projects. Whether you need test data for development, synthetic data for privacy protection, or training data for AI models, Data Designer provides a flexible and powerful solution.
Synthesize HIPAA-protected healthcare data	Safe Synthetics	Apply safeguards to healthcare datasets designed for HIPAA requirements while maintaining data utility for analysis and model training.
Create Text to Code datasets	Data Designer	Create high-quality synthetic datasets that pair natural language instructions with corresponding code implementations. These instruction-code pairs are essential for training and fine-tuning coding assistants that can accurately translate user requests into executable code. This blueprint showcases how to create synthetic datasets for code generation in both Python and SQL contexts.
Redact & synthesize free text with maximum privacy	Safe Synthetics	Use Transform and Text Fine-Tuning with Differential Privacy to protect your free text data.
Create an evaluation dataset for your RAG application	Data Designer	Create tailored evaluation datasets for your Retrieval-Augmented Generation systems with Gretel Data Designer. This blueprint helps you generate domain-specific reference documents, queries, and ground truth answers that match your real-world use cases and evaluation needs.