How does Megagon Labs use LLMs to improve data discovery in data lakes?

Megagon Labs leverages language models and state-of-the-art machine-learning approaches for data discovery in data lakes, tabular data understanding, data augmentation, and natural-language-to-SQL query generation. Featured projects include Watchog (contrastive learning for robust table representations), CMDBench (a benchmark for multimodal data discovery in compound AI systems), and MageSQL (a multi-agent text-to-SQL system).