Velvet is an
AI-focused data pipeline tool designed to assist software engineers in managing large language model (LLM) requests and responses by storing them in a PostgreSQL database. It enables users to capture raw LLM logs, store them for analysis, and evaluate AI performance, helping optimize costs and fine-tune models to meet their system's specific requirements. With its structured, queryable data framework, Velvet facilitates in-depth analysis and continuous improvement of AI features through automated evaluation loops.
For engineers, Velvet proves invaluable in resolving issues, optimizing model performance, and preparing data for training custom models. By offering detailed insights and a streamlined workflow, Velvet empowers developers to fully leverage AI capabilities, making it a critical tool for those looking to elevate their software applications with enhanced AI functionality.
