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Published : Oct 23, 2024
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Oct 2024
Assess ?

Azure AI Search, formerly known as Cognitive Search, is a cloud-based search service designed to handle structured and unstructured data for applications like knowledge bases, particularly in retrieval-augmented generation (RAG) setups. It supports various types of search, including keyword, vector and hybrid search, which we believe will become increasingly important. The service automatically ingests common unstructured data formats including PDF, DOC and PPT, streamlining the process of creating searchable content. Additionally, it integrates with other Azure services, such as Azure OpenAI, allowing users to build applications with minimal manual integration effort. From our experience, Azure AI Search performs reliably and is well-suited for projects hosted in the Azure environment. Through its custom skills, users can also define specific data processing steps. Overall, if you're working within the Azure ecosystem and need a robust search solution for a RAG application, Azure AI Search is worth considering.

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