/AI-Enriched-Corporate-Training-Catalog

Build an AI-Enriched Corporate Training Catalog using AI within Azure Cognitive Services. One-stop knowledge mining application that combines information from external sources, enriches that data, and creates a user interface for end users to sift through all their learning options.

Primary LanguageHTMLOtherNOASSERTION

Fork this repository to complete the Building an AI Enriched Corporate Training Catalog Project

Step1_Architecture

Install Azure Storage Explorer

  • Simple search on various search terms
  • Simple search using a phrase
  • Search using a Boolean operation on terms and / or phrases
  • Search using some of the Lucene capabilities such as fuzzy and proximity search or term boosting
  • Use a filter to limit results using different fields such as beds, baths, etc.
  • Add a facet to see how the facet results are returned
# Simple search with a term
search=flatlet

Simple search with a phrase
search="formal dining room"

# Boolean search (note the searchMode to make the negative Boolean work)
search="formal dining room" -flatlet&searchMode=all

# Fuzzy search
search="cul-de-sac"~&queryType=full

#Filter
search=*&$filter=baths eq 2 and beds eq 2

#Facet
search=*&facet=city

search=parks+water&$select=description
search=lake*&$select=description,city
search=*&$select=description, beds, baths&$filter=(beds gt 2 and baths gt 2)

search=*&$select=price,mortgage&$filter=mortgage eq "Conforming"
?search=*&$filter=category eq 'Starter Home'

Filtering, faceting, and sorting from each dataset (as appropriate)

use the built-in Custom Entity Lookup skill to enrich the dataset.

Storage Account Primary Endpoint

https://training6atalog5torage.z6.web.core.windows.net/