Overview

AfterQuery provides a data platform for developers to build, evaluate, and monitor generative AI applications across the full LLM development lifecycle: data preparation for Retrieval-Augmented Generation (RAG), model evaluation, and production observability. It connects enterprise data sources like Notion, Slack, and databases to preprocess data for use by LLMs. The platform includes tools to test models with qualitative and quantitative metrics before deployment and to monitor performance, costs, and issues such as hallucinations or prompt drift once in production. Its goal is to help organizations build dependable, scalable, and maintainable LLM-powered applications through an integrated, data-centric workflow.