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Merge pull request #53121 from MScalopez/postgresql-ai-final
Add RAG module to AI-3019 LP
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‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/1-introduction.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-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 RAG applications with Azure Database for PostgreSQL."
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ms.date: 08/08/2025
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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/1-introduction.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/10-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: 08/15/2025
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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: What does GraphRAG add to a standard RAG pipeline?
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choices:
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- content: A replacement for vector search that removes embeddings
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isCorrect: false
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explanation: Incorrect. GraphRAG complements vectors; it doesn't remove them.
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- content: A knowledge graph so retrieval can follow relationships before ranking with embeddings
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isCorrect: true
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explanation: Correct. Graph structure guides what to retrieve.
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- content: A new fine-tuned model trained on policies
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isCorrect: false
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explanation: Incorrect. GraphRAG changes retrieval, not model training.
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- content: When results are combined from vector and keyword searches, what simple method helps merge rankings?
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choices:
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- content: L2 normalization of all vectors
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isCorrect: false
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explanation: Incorrect. That's a vector scaling step, not a rank merger.
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- content: Cross join of both result sets
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isCorrect: false
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explanation: Incorrect. A cross join doesn't merge rankings meaningfully.
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- content: Reciprocal Rank Fusion
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isCorrect: true
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explanation: Correct. It blends lists without heavy tuning.
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- content: What SQL statement is useful to check timing and confirm a vector index is used?
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choices:
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- content: DESCRIBE TABLE on the target relation
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isCorrect: false
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explanation: Incorrect. That only shows schema details.
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- content: EXPLAIN (ANALYZE, BUFFERS) followed by the query
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isCorrect: true
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explanation: Correct. It shows the plan and actual work done.
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- content: VACUUM ANALYZE on the database
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isCorrect: false
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explanation: Incorrect. It updates stats but doesn't display a plan.

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/11-summary.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-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 RAG applications with Azure Database for PostgreSQL."
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ms.date: 08/08/2025
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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/11-summary.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/2-understand-rag-patterns-azure-database-postgresql.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.understand-rag-patterns-azure-database-postgresql
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title: Understand RAG pattern with Azure Database for PostgreSQL
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metadata:
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title: Understand RAG pattern with Azure Database for PostgreSQL
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description: "Learn what the Retrieval-Augmented Generation (RAG) pattern is and how its stages map to Azure Database for PostgreSQL features and extensions."
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ms.date: 08/08/2025
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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/2-understand-rag-patterns-azure-database-postgresql.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/3-explore-scale-accuracy-problem.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.explore-scale-accuracy-problem
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title: Explore information retrieval challenges - scale and accuracy
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metadata:
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title: Explore information retrieval challenges - scale and accuracy
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description: "Explore how information retrieval balances scale and accuracy, then set a baseline to measure and improve search performance."
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ms.date: 08/08/2025
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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/3-explore-scale-accuracy-problem.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/4-enhance-scale-vector-index.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.enhance-scale-vector-index
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title: Enhance scale with vector indexes
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metadata:
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title: Enhance scale with vector indexes
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description: "Explore how vector indexing keeps retrieval fast at scale by choosing index types that balance speed, memory, and relevance."
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ms.date: 08/08/2025
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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: 8
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content: |
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[!include[](includes/4-enhance-scale-vector-index.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/5-build-rag-application-postgresql-python.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.build-rag-application-postgresql-python
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title: Build RAG Applications with Azure Database for PostgreSQL and Python
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metadata:
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title: Build RAG Applications with Azure Database for PostgreSQL and Python
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description: "Learn how to build a RAG application with Azure Database for PostgreSQL and Python that retrieves the right data and produces clear, grounded answers."
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ms.date: 08/08/2025
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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: 7
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content: |
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[!include[](includes/5-build-rag-application-postgresql-python.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/6-exercise-build-rag-application-postgresql-python.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.exercise-build-rag-application-postgresql-python
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title: "Exercise: Build RAG applications with Azure Database for PostgreSQL and Python"
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metadata:
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title: "Exercise: Build RAG applications with Azure Database for PostgreSQL and Python"
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description: "Build a RAG application in Azure Database for PostgreSQL."
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ms.date: 08/08/2025
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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: 30
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content: |
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[!include[](includes/6-exercise-build-rag-application-postgresql-python.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/7-improve-accuracy-advanced-rag-architecture.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.improve-accuracy-advanced-rag-architecture
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title: Improve accuracy with advanced RAG architectures
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metadata:
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title: Improve accuracy with advanced RAG architectures
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description: "Improve accuracy with advanced RAG architectures."
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ms.date: 08/08/2025
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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: 4
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content: |
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[!include[](includes/7-improve-accuracy-advanced-rag-architecture.md)]

‎learn-pr/wwl-data-ai/build-rag-applications-azure-database-postgresql/8-explore-graph-rag.yml‎

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### YamlMime:ModuleUnit
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uid: learn.wwl.build-rag-applications-azure-database-postgresql.explore-graphrag
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title: Explore GraphRAG with Azure Database for PostgreSQL
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metadata:
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title: Explore GraphRAG with Azure Database for PostgreSQL
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description: "Explore GraphRAG on PostgreSQL. Retrieve by meaning and relationships, then sort by embedding similarity."
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ms.date: 08/08/2025
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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/8-explore-graph-rag.md)]

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