The best thing about Azure AI Search is how it combines powerful search capabilities with built-in AI enrichment. It makes it easier to extract meaning from structured and unstructured data, so users can find relevant information faster. I also appreciate its scalability, flexible indexing, and smooth integration with other Azure services. It feels well suited for building intelligent, enterprise-grade search experiences without having to assemble everything from scratch. Review collected by and hosted on G2.com.

One downside of Azure AI Search is that it can feel complex to configure, especially when setting up advanced indexing, scoring, and AI enrichment pipelines. For smaller teams, the learning curve and governance overhead may be heavier than expected. Cost can also rise quickly as usage scales, particularly for high-volume or highly customized search workloads. While it is powerful, some scenarios still require careful tuning to achieve the best relevance and performance. Review collected by and hosted on G2.com.

What I like best about Azure AI Search is its combination of powerful AI-driven search capabilities and easy integration with the Azure ecosystem. Features like semantic search, vector search, and AI enrichment help deliver highly relevant search results while reducing development effort. It is scalable, reliable, and flexible for both small and enterprise-level applications. Review collected by and hosted on G2.com.

One thing I dislike about Azure AI Search is that the pricing can become expensive when using advanced AI features at scale. The initial setup and configuration for complex search scenarios can also feel overwhelming for beginners, especially when working with indexing, semantic search, and vector search together. Review collected by and hosted on G2.com.

What I like most about Azure AI Search is how it blends traditional search with AI-driven capabilities such as semantic search, vector search, and natural language understanding. This combination helps users surface more relevant information faster, even when their queries don’t exactly match the content. I also appreciate how smoothly it integrates with the Microsoft Azure ecosystem, which makes it easier to build scalable, intelligent search experiences for customer support, knowledge bases, and other enterprise applications. Review collected by and hosted on G2.com.

It isn’t as fast as some other applications, so I end up spending more time in it than I’d like, which can be frustrating. Review collected by and hosted on G2.com.

Azure AI Search used to find relevant answer for the user query for our chatbot model and also reduce time and works faster. Review collected by and hosted on G2.com.

I don't have anything to dislike about Azure AI Search it works for our requirements. Review collected by and hosted on G2.com.

Helpful in chunking the pdfs and retrieving then whenever needed Review collected by and hosted on G2.com.

Sometimes the chunk size is too huge and the open ai cost goes up, the chunk size adjustment is not available in all api versions Review collected by and hosted on G2.com.

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.

Just how it works, you provide your documents context, it provides answers and supporting content as well, not just a blank answer which you cannot cross check to trust the answer. That is the best part. We use it for a lot of generative AI in our organization. Review collected by and hosted on G2.com.

Its just paid and organizational. Not for personal use. Not that many people have any personal use of it. 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.