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learn-pr/wwl-data-ai/ai-knowldge-mining/1-introduction.yml

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metadata:
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title: Introduction
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description: Introduction
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.author: berryivor
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/2-azure-ai-search.yml

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metadata:
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title: What is Azure AI Search?
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description: Introduction to Azure AI Search.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.author: berryivor
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/3-index.yml

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metadata:
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title: Extract data with an indexer
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description: Use an indexer to extract and index from a data source.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.author: berryivor
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/4-ai-skills.yml

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metadata:
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title: Enrich extracted data with AI skills
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description: Use AI skills to enrich data in your index.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.author: berryivor
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/5-search-index.yml

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metadata:
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title: Search an index
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description: Query an index to find and filter documents.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.author: berryivor
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/6-knowledge-store.yml

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metadata:
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title: Persist extracted information in a knowledge store
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description: Use projections to persist extracted data in a knowledge store.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.author: berryivor
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/7-exercise.yml

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title: Exercise - Create a knowledge mining solution
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description: Use Azure AI Search to create a knowledge mining solution.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.author: berryivor
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/8-knowledge-check.yml

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title: Module assessment
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description: Knowledge check
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ms.topic: unit
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explanation: "Correct. An indexer is run to extract data and populate an index."
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- content: "Projection"
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isCorrect: false
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explanation: "Incorrect.A projection is used to store extracted data in a knowledge store."
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explanation: "Incorrect. A projection is used to store extracted data in a knowledge store."
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- content: "Query"
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isCorrect: false
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explanation: "Incorrect. A query is used to search an index."
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explanation: "Incorrect. Azure Functions can be used to implement custom skills, but isn't required for built-in skills."
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- content: "Foundry Tools"
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isCorrect: true
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explanation: "Correct. A Foundry Tools resource is required to support built-in skills."
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explanation: "Correct. A Foundry resource is required to support built-in skills."
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- content: "Azure Cosmos DB"
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isCorrect: false
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explanation: "Incorrect. Azure Cosmos DB could be a data source fo Azure AI Search, but it isn't required for built-in skills."

learn-pr/wwl-data-ai/ai-knowldge-mining/9-summary.yml

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title: Summary
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description: Summarize what you've learned about knowledge mining.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/16/2025
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author: ivorb
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ms.date: 03/11/2026
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ms.topic: unit
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learn-pr/wwl-data-ai/ai-knowldge-mining/includes/2-azure-ai-search.md

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![Diagram of Azure AI Search supporting multiple applications.](../media/ai-search.png)
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Azure AI search has many applications, including:
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Azure AI Search has many applications, including:
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- Implementing an *enterprise search* solution to help employees or customers find information in websites or applications.
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- Supporting *retrieval augmented generation* (RAG) in generative AI applications by using vector-based indexes for prompt grounding data.

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