Advanced search capabilities: Azure Ai search offers vector search,full text speach and Hybrid search, Ease of Implementation.

AI Enrichment: The Platform integrates AI-Powered enrichments, such as text extraction from images.

Semantic ranking: Context and meaning of queries and Ease of use.

Customer support: Powering intelligent knowledge bases or self service portals Review collected by and hosted on G2.com.

High costs for large scale use.

Complex pricing models.

Latency in query responses.

Limits on query complexity. Review collected by and hosted on G2.com.

The thing that impresses the most about AI Search is that its easy to setup for almost all the use cases.A variety of data sources are acceptable as input for creating the index. Review collected by and hosted on G2.com.

Pricing of Azure AI is very high especially for customers from India or similar geographies. Please evaluate your pricing for Indian customers. Review collected by and hosted on G2.com.

As the llms and genai are booming, microsoft has made best use of llms to create azure AI search which take natural language and provide results by applying filters and by creating sql queries at backend. Review collected by and hosted on G2.com.

Sometimes it fails to understand natural language and apply filters and generate sql queries as there are exceptiona in which human gives search request. Review collected by and hosted on G2.com.

AI search is easy to integrate, provides an enhanced search experience, semantic search, language support, and most importantly is easily customizable for your application. Review collected by and hosted on G2.com.

The cost is quite high making it less affordable for data storage compared to other available options in the market. Review collected by and hosted on G2.com.

Versatile services, innovative AI Solutions, API, SDK related solutions, speed driven accuracy and many more are best in azure ai. Review collected by and hosted on G2.com.

Mainly it is designed for enterprise level so costing is crucial factor. Not so easy to understand terminology for non tech individuals. Review collected by and hosted on G2.com.

the best thing I like about azure ai search is that it gives your low latency response when you integrate it with rag applications Review collected by and hosted on G2.com.

the thing is dislike about azure ai search is that it is doest not get accurate results every time form vector db Review collected by and hosted on G2.com.

The seam AI and cloud integration, let's me upload and access documents and models on the go. Plug in the data with cloud AI. Review collected by and hosted on G2.com.

There could be better GPU integration to make the entire process more seamless Review collected by and hosted on G2.com.

Azure AI Search (formerly Azure cognitive search) provided us an very easy to use environment, it took very less time to understand the terminlogy, setup the first index, and now i'm using it for various use cases. Review collected by and hosted on G2.com.

Updating existing indexes is not possible in few cases, i felt this is big blocker for me, instead i'm trying various work arounds. Review collected by and hosted on G2.com.

AI powered search capabilities

Integrated cognitive skills

Security

Semantic search Review collected by and hosted on G2.com.

Cost, limited languages, learning curves Review collected by and hosted on G2.com.

I can build machines with AI and customize them with my imagination, They are easy to use and also have great mind Review collected by and hosted on G2.com.

Nothing is disliked now, I'm happy with that service and smart mind Review collected by and hosted on G2.com.