Learning Microsoft Cognitive Services - Third Edition

Building the index

With the attribute schema and data file in place, we can build the compressed binary index. This will hold all our data objects.

Using our example files, we can build the index by running the following command:

kes.exe build_index Academic.schema Academic.data Academic.index

A successful execution should produce the Academic.index file, which we will use when we are hosting the service.

When running the command, the application will continuously output the status, which can look like the following:

 00:00:00 Input Schema: \Programs\KES\Example\Academic.schema 00:00:00 Input Data: \Programs\KES\Example\Academic.data 00:00:00 Output Index: \Programs\KES\Example\Academic.index 00:00:00 Loading synonym file: Keyword.syn 00:00:00 Loaded ...