The best enterprise AI Search solution
January 29, 2026

The best enterprise AI Search solution

Parth Purani | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azure AI Search

Azure AI Search is heavily being used by our file management system to search and retrieve items based on search token provided. The Azure AI Search is very versatile in working with multiple sources of data and ability to integrate with Chat Bot is very handy. The implementation is very easy and seamless.

Pros

  • The Azure AI Search has all state-of-the-art LLM models ready to use for our enterprise grade apps.
  • Azure AI Search seamlessly integrates with our Azure infrastructure and provide most advance security for our sensitive data.
  • It's hybrid search ability makes it much faster than the conventional search algorithm which would require us to index the database.

Cons

  • Azure AI Search formerly known as Cognitive search has very limited development SKU model for getting started which makes it costly while just getting started.
  • We had an issue with limited file size capped at 16Mb, which turned into a system wide limitation for our product since many of our blobs exceeded the 16Mb mark.
  • For larger systems the REST rate limits for the query API can become a headache if you don't plan for possible influx of peak requests.
  • When integrated with our existing file system the Azure AI Search helped users tremendously by reducing search times and improve efficacy of intended result.
  • Since Azure AI Search is a PaaS solution, we had very short ideation to go-live timespan, which ended up reflecting in our product performance.
  • A rare but not negligible occurrence was correctness of search being questionable when new data was added to the system. The search returns false positive results.
Azure AI Search is a very useful product when used with Azure resource stack. Its ability to integrate natively with Azure blob storage out of the box made it stand out with other products. We found it very reliable for most of the cases and the ability to scale on demand is very useful when starting with subset of customers.
Azure AI Search is a native solution which places it above any third-party solutions like the Elastisearch, so choosing Azure AI Search was a no-brainer. Elasticsearch is also easy to implement but unlike Azure AI Search the integration with data sources like Azure SQL Database makes it easy to adapt.

Do you think Azure AI Search delivers good value for the price?

Yes

Are you happy with Azure AI Search's feature set?

Yes

Did Azure AI Search live up to sales and marketing promises?

Yes

Did implementation of Azure AI Search go as expected?

Yes

Would you buy Azure AI Search again?

Yes

It's very useful when used with large file systems, once the models index the files good enough, the suggestions are very impressive and produce grounded answers. Since it can natively work with blob storage the requirement for pre-processing the data is eliminated i.e. the data can be searched in its raw form, this makes Azure AI Search a very powerful tool when used with Azure Stack.

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