Terraform RAG - index modules, distill conventions, compose via MCP

Terraform RAG is a developer tool that uses Retrieval-Augmented Generation to index Terraform module documentation and distill organizational conventions, enabling AI-assisted composition of infrastructure code via the Model Context Protocol. It is designed for platform engineers and DevOps teams who need to enforce best practices and accelerate Terraform development. The project is interesting because it bridges the gap between static module registries and dynamic AI coding assistants, making reusable infrastructure patterns instantly accessible within an IDE.