Enable semantic search in Azure Database for PostgreSQL

  • Module
  • 9 Units
Intermediate
Developer
Azure Database for PostgreSQL

This module explores semantic search, embedding vectors, vector similarity, and using Azure Database for PostgreSQL - Flexible Server with PostgreSQL Vector and Azure AI extensions to generate, store, and query rows with semantic search.

Learning objectives

  • Examine the concepts of semantic search & embedding vectors.

  • Understand the difference between lexical search & semantic search.

  • Evaluate the capabilities provided by the azure_ai extension for PostgreSQL.

  • Install and explore the vector and azure_ai extensions in an Azure Database for PostgreSQL - Flexible Server database.

Prerequisites

Before starting this module, you should have experience working with PostgreSQL databases, writing SQL queries, and standard lexical search.

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