Azure AI Search

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Updated On June 17, 2025

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Overview

Category: Search

Pricing Model: Subscription

Azure AI Search (formerly Azure Cognitive Search) is a managed cloud search service that lets developers add a sophisticated search experience to web, mobile, and enterprise applications. It provides a rich set of features including full-text search, vector search, hybrid search, and the ability to integrate Retrieval Augmented Generation (RAG) patterns.

The service handles infrastructure management, scaling, and maintenance, allowing developers to focus on building the search experience. It integrates seamlessly with other Azure services like Blob Storage, Cosmos DB, and Azure OpenAI, and offers AI enrichment capabilities (via Cognitive Services integration) to unlock insights from various data types, including unstructured data.

By providing advanced search capabilities like semantic ranking, facets, filters, and scoring, Azure AI Search helps users quickly find relevant information within large datasets, improving application usability, providing valuable insights, and enhancing overall productivity.

Key Features

Full-Text Search: Provides traditional keyword-based search capabilities.
Vector Search: Enables similarity search based on vector embeddings.
Hybrid Search: Combines keyword and vector search for improved relevance.
Semantic Ranker: Uses deep learning to improve the relevance of initial results.
AI Enrichment: Applies cognitive skills (OCR, entity recognition, etc.) to extract information from data.
Indexing: Automated or scheduled indexing of data sources.
Facets, Filters, and Sorting: Allows users to refine search results.
Scoring Profiles: Customizes result relevance based on business logic.
Language Support: Supports multiple languages for linguistic analysis.
Scalability: Easily scales replicas and partitions to handle workload.