Azure AI Search
Microsoft managed search service with vector, hybrid, and agentic retrieval for RAG
Azure AI Search (formerly Azure Cognitive Search) is a fully managed search service from Microsoft for building search and RAG applications. It supports full-text, vector, hybrid, and multimodal queries, with semantic ranking and AI enrichment to chunk and vectorize content at indexing time.
It offers a classic index-first search mode and an agentic retrieval mode that plans, decomposes, and merges multi-source queries for agents. Integrates with Azure OpenAI and Azure data sources. Dedicated and serverless (preview) pricing tiers.
Pricing: Pay-as-you-go
Choosing an AI search API right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Choosing an AI search API right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Azure AI Search Alternatives
Explore 26 products in the Vector databases category. View all Azure AI Search alternatives.
Meilisearch
Open-source search engine in Rust with full-text, semantic, and hybrid search
Elasticsearch
Distributed full-text search and analytics engine with built-in vector and hybrid search
OpenSearch
Open-source search and analytics suite with full-text, vector, and hybrid search
Wire
Hosted context containers that agents query over MCP, with hybrid retrieval built in
Layerbase
Managed Qdrant, Weaviate and Meilisearch alongside Postgres and 15 other engines, on flat monthly plans.
Chroma
The AI-native open-source embedding database
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