ChatDBT is an innovative platform designed for building data pipelines using DBT (Data Build Tool). It integrates generative AI to provide a visual design interface, facilitating easier and quicker data pipeline development. The platform supports multiple roles, allowing stakeholders from various backgrounds to collaborate effectively within a unified environment. By leveraging cutting-edge AI technologies, ChatDBT ensures more efficient data management, automation, and sharing capabilities.

ReasonChain provides a modular pipeline for constructing sequences of LLM-driven operations, allowing each step’s output to feed into the next. Users can define custom chain nodes for prompt generation, API calls to different LLM providers, conditional logic to route workflows, and aggregation functions for final outputs. The framework includes built-in debugging and logging to trace intermediate states, support for vector database lookups, and easy extension through user-defined modules. Whether solving multi-step reasoning tasks, orchestrating data transformations, or building conversational agents with memory, ReasonChain offers a transparent, reusable, and testable environment. Its design encourages experimentation with chain-of-thought strategies, making it ideal for research, prototyping, and production-ready AI solutions.