Azure AI Search Reviews & Product Details

The ability to leverage AI-driven semantic search and natural language processing is a game changer. It significantly enhances the relevance and accuracy of search results, making it incredibly useful for applications where precise data retrieval is critical. The scalability is another standout feature—it handles large datasets with ease. I also love the ease of integration with Azure’s other services, making it a comprehensive solution for developers working in the Microsoft ecosystem. Review collected by and hosted on G2.com.

The pricing structure can be restrictive for smaller teams or individual developers, as it quickly adds up with higher usage tiers. Another issue I noticed is the lack of offline documentation, which can be frustrating when working in environments with limited internet access. Lastly, the learning curve for advanced customizations can be steep, requiring a lot of trial and error to fine-tune the search experience. Review collected by and hosted on G2.com.

Azure is the best cloud in comparison with any other cloud services in the market I used AWS and GCP but the way Azure works none of the clouds will work like that and its very easy to use and implement and customer support is good and i almost use this daily and i like the azure AD feature and i integrated this with VS code Review collected by and hosted on G2.com.

Only one thing I don't like about Azure is community and pricing Review collected by and hosted on G2.com.

Azure AI Search offers powerful and customizable search capabilities, integrating AI-driven features such as semantic search, cognitive skills, and real-time sentiment analysis. Its flexibility allows tailoring searches to unique business needs, from enhancing customer feedback insights to enabling secure document searches. The intuitive setup and clear configuration options also make it accessible for users with varying technical expertise, which simplifies onboarding and shortens the learning curve. Review collected by and hosted on G2.com.

One downside of Azure AI Search is that its advanced features require detailed configuration, which may be overwhelming for less technical users. Additionally, the cost of running complex AI-powered searches can add up quickly, especially for smaller businesses that need to manage budgets tightly. Furthermore, the platform may require additional customization to support very niche or industry-specific search functionalities, adding to development time and complexity. Review collected by and hosted on G2.com.

Azure AI Search provides an intuitive setup process with straightforward configuration. It was easy to understand the platform's key concepts and quickly get my first index up and running. Now I use it for a variety of applications without needing much additional setup. Review collected by and hosted on G2.com.

One limitation is the difficulty of updating existing indexes in some cases, which can disrupt workflows. Finding workarounds can be time-consuming, so more flexibility here would be a huge improvement. Review collected by and hosted on G2.com.

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.