  The capabilities of the most recent language models have increased the
interest in integrating them into real-world applications. However, the fact
that these models generate plausible, yet incorrect text poses a constraint
when considering their use in several domains. Healthcare is a prime example of
a domain where text-generative trustworthiness is a hard requirement to
safeguard patient well-being. In this paper, we present Physio, a chat-based
application for physical rehabilitation. Physio is capable of making an initial
diagnosis while citing reliable health sources to support the information
provided. Furthermore, drawing upon external knowledge databases, Physio can
recommend rehabilitation exercises and over-the-counter medication for symptom
relief. By combining these features, Physio can leverage the power of
generative models for language processing while also conditioning its response
on dependable and verifiable sources. A live demo of Physio is available at
https://physio.inesctec.pt.
