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AROne of the primary use cases for Generative AI technology like Azure Open AI service is enabling enterprise search across the entire data estate of an organization.
Azure AI Search can connect to different data sources within an organization and enable search across all the data sources.
Azure Cosmos DB has various flavors of NoSQL and distributed relational databases that also offer native Vector Search capabilities.
A natural question is when to use which service.
If the enterprise search needs to search across different databases and storage including SharePoint, then Azure AI search is the obvious choice.
If the data already lives in an operational database like Azure Cosmos DB, then using Vector Search functionality of Azure Cosmos DB can provide lowest possible latency and the best performance.
If relevancy of search results needs to be customized, then Azure AI search provides ranking and hybrid search features that can be essential to the search implementation.
If the data that needs to be searched is of real-time in nature like chat applications or any streaming data sources, then Azure Cosmos DB can provide the lowest latency search results.
#azure #azureai #search #azurecosmosdb #vectorsearch #vectordatabase
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