Build RAG applications with Azure Database for PostgreSQL

  • Module
  • 11 Units
Intermediate
Developer
Data Engineer
Solution Architect
Azure
Azure Database for PostgreSQL

Learn how to implement Retrieval Augmented Generation (RAG) on Azure Database for PostgreSQL, integrate Azure AI for embeddings, and build scalable, accurate AI-powered applications.

Learning objectives

By the end of this module, you'll be able to:

  • Explain the RAG pattern and its benefits for grounding large language models.
  • Map RAG pipeline stages to Azure Database for PostgreSQL features and extensions.
  • Build a basic RAG application using PostgreSQL and Python.
  • Enhance performance and accuracy with indexing strategies and semantic re-ranking.
  • Explore advanced RAG patterns, including GraphRAG for multi-hop reasoning.

Prerequisites

  • Ability to write basic SQL queries.
  • Familiarity with Python application development.
  • Comfort with provisioning Azure resources such as Flexible Server and enabling extensions.

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