AI-Powered Knowledge Mining Hackathon

Challenge 1: A Question of Knowledge 

In this challenge, you will use Microsoft Question Answering cognitive service to build and publish a knowledge base.  

Learning objectives: 

• Create a question answering knowledge base that includes suitable question and answer pairs 
• Write code that uses the REST API to query the knowledge base 

Challenge 2: The Search Begins 

In this challenge, you will create a datasource, index, and indexer and demonstrate code that successfully retrieves the information. 

Learning objectives: 

• Create an Azure Search Index 
• Use the SDK or REST API to submit a range of search queries using both simple and full syntax 

Challenge 3: Expanding the Search 

In this challenge, you will update the index and demonstrate code that successfully retrieves information.  

Learning objectives: 

• Add built-in cognitive skills to an Azure Search index to return: 

• Key Phrases 
• Entities (including links) 
• Sentiment (especially reviews) 

Challenge 4: Getting the Full Picture 

In this challenge, you will use the OCR skill to expand the index to extract AI-generated descriptions of images embedded in documents.  

Learning objectives: 

• Add built-in cognitive skills to an Azure Search index to return: 

• Image Descriptions and Tags 

• OCR extracted Text 

Challenge 5: What is the Frequency? 

In this challenge, you will create a web API custom skill for your Azure Search index. 

Learning objectives: 

• Create a custom skill to find the top ten most frequent words 

• Incorporate your custom skill into your web content index 

Challenge 6: The Search for Relevance 

In this challenge, you will create return search results based on synonyms and display suggestions and autocomplete options.  

Learning objectives: 

• Add Synonyms to Azure Search index to ensure relevant results 

• Implement query suggestions / autocomplete 
• Add scoring profiles that boost documents in results 

Challenge 7: Knowledge preservation 

In this challenge, you will modify the index skillset to generate knowledge store assets. Browse the blobs and tables in the knowledge store using the Storage Explorer interface.  

Learning objectives: 

• Implement knowledge stores. 

Challenge 8: Finding Your Form 

In this challenge, you will train a Form Recognizer model and integrate into a new Azure Search index.  

Learning objectives: 

• Create a custom skill that calls the Forms Understanding Service 

Challenge 9: Use Your Intelligence 

In this challenge, you will publish a machine learning model as a web service to predict claim probability.  

Learning objectives: 

• Build a custom skill that consumes a custom machine learning model