#Embedded Python

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Embedded Python refers to the integration of the Python programming language into the InterSystems IRIS kernel, allowing developers to operate with data and develop business logic for server-side applications using Python.

Documentation.

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One objective of vectorization is to render unstructured text more machine-usable. Vector embeddings accomplish this by encoding the semantics of text as high-dimensional numeric vectors, which can be employed by advanced search algorithms (normally an approximate nearest neighbor algorithm like Hierarchical Navigable Small World). This not only improves our ability to interact with unstructured text programmatically but makes it searchable by context and by meaning beyond what is captured literally by keyword.

In this article I will walk through a simple vector search implementation that Kwabena Ayim-Aboagye and I fleshed out using embedded python in InterSystems IRIS for Health. I'll also dive a bit into how to use embedded python and dynamic SQL generally, and how to take advantage of vector search features offered natively through IRIS.

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Hi developers!
Happy holidays!

In ObjectScript there is neat option to log errors - call Log() method of an exception intance, e.g.:

ClassMethod MyMethod() {

Try {

w 1/0

}

Catch e {

do e.Log() // logging error in the app log

write "the error happened: "_e.DisplayString()

}

}

Is there anything like that for Embedded Python? e.g:

ClassMethod MyMethod() [Language = python] {

 try:

   print(1/0)

 except ZeroDivisionError as e:

   // how can I log e into IRIS App Error Log here?

   print("Caught exception: " + str(e))

}

Any ideas?

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