Azure Cognitive Search was created by Microsoft and launched in 2013. It was developed to provide a scalable, cloud-based search solution that could integrate advanced search capabilities into applications. The service aimed to address the need for powerful indexing and querying features, allowing users to perform full-text searches across diverse data sources while leveraging AI-driven enhancements for improved search relevance.
Azure Cognitive Search
Azure Cognitive Search is a cloud-based search service that provides powerful indexing and querying capabilities to enable full-text search across various data sources. It allows developers to integrate sophisticated search functionality into applications, utilizing features like natural language processing, cognitive skills for AI enrichment, and customizable ranking models to enhance search relevance and user experience.
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About Azure Cognitive Search
Strengths of Azure Cognitive Search include its seamless integration with other Azure services, robust AI-driven capabilities for enhancing search relevance, and scalability to handle large datasets. Weaknesses may involve complexity in setup and potential cost considerations for extensive use. Competitors include Amazon Elasticsearch Service, Google Cloud Search, and Elastic Cloud.
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How to hire a Azure Cognitive Search expert
An Azure Cognitive Search expert must possess skills in data indexing and query formulation, proficiency in REST APIs and SDKs for integrating search capabilities, familiarity with Azure services and cloud architecture, experience with AI enrichment features like cognitive skills and natural language processing, and knowledge of security practices for managing search data. Understanding of JSON data structures and experience with search relevance tuning are also important.
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