Azure AI Search - 2026 Pricing, Features, Reviews & Alternatives

Azure AI Search is a fully managed, cloud-hosted enterprise knowledge system designed to power retrieval-augmented generation (RAG) and traditional search workloads across large-scale data environments. It connects heterogeneous data sources, including blobs, databases, and document stores, through a built-in indexing pipeline that extracts, enriches, and structures content for querying. Supported query types span full-text, vector, semantic, and hybrid search, with integrated reranking to surface the most relevant results for AI-driven applications.

Azure AI Search targets enterprises and development teams building intelligent applications on Azure, with particular relevance for industries handling high volumes of unstructured content such as legal, financial services, healthcare, and media. The platform supports role-based access control, private endpoints, and encryption at rest and in transit, meeting common enterprise security and compliance requirements. Configurable indexers, skillsets, and knowledge stores give teams granular control over how data is ingested, transformed, and persisted, supporting both batch and incremental indexing patterns.

The service scales horizontally across search units, allowing independent scaling of storage and query throughput to match workload demands. REST APIs and SDKs for multiple languages provide integration flexibility, while native connectivity with Azure OpenAI, Azure Machine Learning, and other Azure services positions the platform as a core retrieval layer in enterprise AI architectures.