Overview
Product Information on Azure AI Search
Updated 13th October 2025
What is Azure AI Search?
Azure AI Search Pricing
Overall experience with Azure AI Search
Ai Engineer
250M - 500M USD, Healthcare and BiotechFAVORABLE
“Retrieval quality improves with careful tuning, but requires ongoing maintenance”
We used Azure AI Seach as a part of a RAG pipeline for an internal knowledge assistant, and overall it worked pretty well once everything was configured properly. The integration with the azure ecosystem is probably the biggest advantage. Since most of our infra was already on Azure, onboarding was easier compared to introducing another standalone vector database or search platform.
That said, I wouldn't call the setup "simple". The first couple of weeks involved a lot of tuning, indexing experiments, schema changes, and figuring out why retrieval quality suddenly dropped after what looked like harmless updates. Once stabilized though, it became reliable enough for production use.
SENIOR SYSTEMS ENGINEER
<50M USD, Services (non-Government)CRITICAL
“Easy to deploy, costly if you need to scale.”
Our technology stack is Microsoft, so this product fits well and is easy to deploy with our Infrastructure as Code pipelines. Unfortunately, it's no longer the recommended product to use for our Sitecore implementation, so we'll be looking to move to a different solution (but only for this reason).
About Company
Company Description
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.
Company Details
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
Do You Manage Peer Insights at Microsoft?
Access Vendor Portal to update and manage your profile.
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Top Azure AI Search Alternatives
Peer Discussions
Azure AI Search Reviews and Ratings
Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
- Ai Engineer50M-1B USDHealthcare and BiotechReview Source
Retrieval quality improves with careful tuning, but requires ongoing maintenance
We used Azure AI Seach as a part of a RAG pipeline for an internal knowledge assistant, and overall it worked pretty well once everything was configured properly. The integration with the azure ecosystem is probably the biggest advantage. Since most of our infra was already on Azure, onboarding was easier compared to introducing another standalone vector database or search platform. That said, I wouldn't call the setup "simple". The first couple of weeks involved a lot of tuning, indexing experiments, schema changes, and figuring out why retrieval quality suddenly dropped after what looked like harmless updates. Once stabilized though, it became reliable enough for production use. - CYBERSECURITY ANALYST50M-1B USDRetailReview Source
Seamless Azure service connections with challenges in cost prediction at scale
My experience with Microsoft Azure AI Search has been positive. The platform provides strong search capabilities, scalability and seamless integration within the Microsoft ecosystem which made it easier for our organization to improve internal knowledge retrieval and support AI driven workflows. - IT Manager1B-10B USDManufacturingReview Source
AI-powered search capabilities with flexible retrieval but costly scaling
Fully managed, cloud-based search and information retrieval services that enable you to index, enrich and query large volumes of structured and unstructured data using both traditional search and AI driven techniques. - Engineering Manager50M-1B USDMiscellaneousReview Source
Building scalable search is simplified, though setup can be complex
We have good experience with Azure AI Search. It integrates well with Azure ecosystem and makes it easy to build scalable search capabilities over structured and unstructured data. - IT Associate10B+ USDManufacturingReview Source
Hybrid search with semantic reranking stands out for RAG pipelines
Most powerfull and robust platforms for entreprise information retrieval especially when building retrieval augmented generation (RAG) pipelines and AI drivens applications.
...
Showing Result 1-5 of 220
Recommended Gartner Insights
This service may contain translations provided by Google. Google disclaims all warranties related to the translations, express or implied, including any warranties of accuracy, reliability, and any implied warranties of merchantability, fitness for a particular purpose and noninfringement. Gartner's use of this provider is for operational purposes and does not constitute an endorsement of its products or services.
