  In recent years, the information retrieval (IR) community has witnessed the
first successful applications of deep neural network models to short-text
matching and ad-hoc retrieval. It is exciting to see the research on deep
neural networks and IR converge on these tasks of shared interest. However, the
two communities have less in common when it comes to the choice of programming
languages. Indri, an indexing framework popularly used by the IR community, is
written in C++, while Torch, a popular machine learning library for deep
learning, is written in the light-weight scripting language Lua. To bridge this
gap, we introduce Luandri (pronounced "laundry"), a simple interface for
exposing the search capabilities of Indri to Torch models implemented in Lua.
