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Adding PostgreSQL AI Services Integration
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‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/01-introduction.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: "Introduction to Implement Generative AI Agents with Azure Database for PostgreSQL."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 1
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content: |
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[!include[](includes/01-introduction.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/02-summarize-data-azure-ai-services-azure-database-postgresql.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.summarize-data-azure-ai-services-azure-database-postgresql
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title: Summarize data with Azure AI Services and Azure Database for PostgreSQL
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metadata:
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title: Summarize data with Azure AI Services and Azure Database for PostgreSQL
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description: "Learn how to use extractive and abstractive summarization with Azure AI Services in Azure Database for PostgreSQL."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/02-summarize-data-azure-ai-services-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/03-perform-sentiment-analysis-opinion-mining-azure-database-postgresql.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.perform-sentiment-analysis-opinion-mining-azure-database-postgresql
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title: Perform sentiment analysis and opinion mining in Azure Database for PostgreSQL
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metadata:
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title: Perform sentiment analysis and opinion mining in Azure Database for PostgreSQL
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description: "Learn how to apply sentiment analysis and opinion mining in Azure Database for PostgreSQL to analyze customer feedback."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/03-perform-sentiment-analysis-opinion-mining-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/04-extract-insights-azure-language-azure-database-postgresql.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.extract-insights-azure-language-azure-database-postgresql
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title: Extract insights using Azure Language and Azure Database for PostgreSQL
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metadata:
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title: Extract insights using Azure Language and Azure Database for PostgreSQL
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description: "Learn how to extract key phrases, recognize entities, and detect PII in Azure Database for PostgreSQL using Azure Language."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/04-extract-insights-azure-language-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/05-translate-text-azure-translator-azure-database-postgresql.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.translate-text-azure-translator-azure-database-postgresql
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title: Translate text with Azure Translator and Azure Database for PostgreSQL
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metadata:
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title: Translate text with Azure Translator and Azure Database for PostgreSQL
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description: "Learn how to translate text in Azure Database for PostgreSQL using Azure Translator to support multilingual applications."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/05-translate-text-azure-translator-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/06-exercise-use-azure-ai-services-azure-database-postgresql.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.exercise-use-azure-ai-services-azure-database-postgresql
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title: Exercise - Use Azure AI services with Azure Database for PostgreSQL
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metadata:
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title: Exercise - Use Azure AI services with Azure Database for PostgreSQL
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description: "Practice summarization, sentiment/opinion mining, key phrase/entity extraction, and translation in Azure Database for PostgreSQL."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 20
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content: |
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[!include[](includes/06-exercise-use-azure-ai-services-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/07-use-azure-machine-learning-inference-azure-database-postgresql.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.use-azure-machine-learning-inference-azure-database-postgresql
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title: Use Azure Machine Learning for inference from Azure Database for PostgreSQL
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metadata:
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title: Use Azure Machine Learning for inference from Azure Database for PostgreSQL
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description: "Learn how to use Azure Machine Learning with Azure Database for PostgreSQL to build models and run real-time inference on your data."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/07-use-azure-machine-learning-inference-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/08-exercise-perform-inference-azure-machine-learning.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.exercise-perform-inference-azure-machine-learning-azure-database-postgresql
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title: Exercise - Perform inference with Azure Machine Learning and Azure Database for PostgreSQL
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metadata:
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title: Exercise - Perform inference with Azure Machine Learning and Azure Database for PostgreSQL
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description: "Use Azure Machine Learning from Azure Database for PostgreSQL to invoke endpoints and run real-time predictions on sample data."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 20
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content: |
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[!include[](includes/08-exercise-perform-inference-azure-machine-learning-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/09-knowledge-check.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: "Knowledge check"
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ms.date: 09/15/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 5
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quiz:
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title: Check your knowledge
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questions:
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- content: A hospital stores long notes from doctors and wants a way to highlight the key sentences without altering the wording. Which technique should be used?
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choices:
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- content: Abstractive summarization
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isCorrect: false
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explanation: Incorrect. Abstractive summarization rephrases text instead of keeping sentences intact.
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- content: Extractive summarization
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isCorrect: true
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explanation: Correct. Extractive summarization surfaces the most important sentences as written:contentReference[oaicite:0]{index=0}.
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- content: Key phrase extraction
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isCorrect: false
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explanation: Incorrect. Key phrase extraction pulls out important concepts, not full sentences.
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- content: A healthcare provider wants to predict patient no-shows by automatically building models without manual tuning. Which feature would help?
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choices:
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- content: Automated Machine Learning (AutoML)
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isCorrect: true
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explanation: Correct. AutoML automates model selection, feature engineering, and hyperparameter tuning:contentReference[oaicite:8]{index=8}.
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- content: Opinion mining
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isCorrect: false
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explanation: Incorrect. Opinion mining analyzes aspects of text, not predictive models.
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- content: Manual model training
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isCorrect: false
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explanation: Incorrect. Manual training requires expert selection and tuning, which is what AutoML removes.
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- content: A ride-sharing company wants to know why some feedback is mixed, such as "The driver was friendly but the car was dirty." What technique would help?
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choices:
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- content: Opinion mining
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isCorrect: true
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explanation: Correct. Opinion mining links sentiment to aspects such as driver and car:contentReference[oaicite:1]{index=1}.
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- content: Sentiment analysis
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isCorrect: false
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explanation: Incorrect. Sentiment analysis gives an overall tone but doesn't separate aspects.
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- content: Named entity recognition
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isCorrect: false
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explanation: Incorrect. Entity recognition identifies terms like "driver" or "car" but doesn't classify opinions about them.

‎learn-pr/wwl-data-ai/integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql/10-summary.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.integrate-ai-services-enrich-applications-intelligent-features-azure-database-postgresql.summary
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title: Summary
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metadata:
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title: Summary
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description: "Summary to Implement Generative AI Agents with Azure Database for PostgreSQL."
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ms.date: 09/08/2025
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author: wwlpublish
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ms.author: calopez
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ms.topic: unit
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durationInMinutes: 1
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content: |
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[!include[](includes/10-summary.md)]

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