Session
Vector similarity search in Azure Cosmos DB for PostgreSQL with pgvector and Azure AI Vision
Vector search is a method that helps you find similar items based on their content rather than exact matches on properties like keywords, tags, or other metadata, as keyword-based search systems do. In this session, we will discuss about vector search with Azure AI Vision and Azure Cosmos DB for PostgreSQL. We will explore how to use Azure AI Vision embedding models and enable the pgvector extension, an open-source vector similarity search extension for PostgreSQL. We will then go on to show how to build an image vector similarity search app that can take advantage of these technologies.
Foteini Savvidou
Back-End Engineer @ NET2GRID, Microsoft MVP
Thessaloníki, Greece
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