Test your SQL like code: LLM-generated test data, local DuckDB execution, argued verdicts. A unit-testing layer for data engineers.
Turn any SQL schema into realistic test data — instantly
Expand string patterns into all possible combinations.
CLI to generate relational synthetic data with realistic chaos – nulls, duplicates, drift, and messy formatting.
Persistent GenAI QA Architect solution demonstrating agentic AI test data generation, healthcare payer QA, EDI validation, PHI masking, Flask APIs, pytest automation, and GitHub Actions CI/CD quality gates.
Reusable, shrink-friendly Hypothesis strategies for dates, money, geo, JSON, text and networking.
Ragas is an open-source evaluation toolkit for Large Language Model applications, with particular depth on Retrieval Augmented Generation (RAG) and agentic systems. Originally created under the Exploding Gradients organization on GitHub and now maintained by Vibrant Labs AI, Ragas is a Python library distributed on PyPI under the Apache 2.0…
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