Jun 23, 2025 · An indexer in Azure AI Search is a crawler that extracts textual data from cloud data sources and populates a search index using field-to-field mappings between source data and a …

Apr 16, 2025 · It automates the process of extracting data, transforming it, and loading it into the index. This means that while the index holds the searchable data, the indexer is responsible for keeping that...

Sep 13, 2025 · Index design is at the heart of Azure AI Search. This guide explains field types, attributes, complex data modeling, analyzers, normalizers, and best practices, all backed by …

Dec 15, 2025 · In this tutorial, create and run the indexer to retrieve the data from Blob storage, execute the skills, including chunking and vectorization, and load the index.

Jun 1, 2025 · This document covers the core concepts and implementation of search indexing with AI enrichment in Azure AI Search. It focuses on creating searchable indexes from raw documents using …

Jun 17, 2025 · You can use an indexer to automate data import and indexing in Azure AI Search. An indexer is a named object on a search service that connects to an external Azure data source, reads …

In this article, we will explore how to create and run an indexer for a Microsoft Azure AI solution, specifically focusing on the Designing and Implementing an Azure AI Solution exam.

Run indexers in full, or reset an indexer, skills, or individual documents to refresh all or part of a search index or knowledge store.

Index projections take AI-enriched content generated by an enrichment pipeline and index it into a secondary index (different from the one that an indexer targets by default) on your search service.

Learn how to create a vectorized index using Azure AI Search in this complete step-by-step tutorial. Whether you're building a semantic search engine, integr...