azure search

Azure search

Azure Search is a cloud search service with built-in artificial intelligence (AI) capabilities that enrich all types of information to easily identify and explore relevant content at scale.

It uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and prebuilt AI APIs across vision, language, and speech. Spend more time innovating and less time maintaining a complex cloud search solution.

Features- 

1. Fully-managed search as a service to reduce complexity and scale easily
2. Auto-complete, geospatial search, filtering, and faceting capabilities for a rich user experience
3. Built-in AI capabilities including OCR, key phrase extraction, and named entity recognition to unlock insights
4. Flexible integration of custom models, classifiers, and rankers to fit your domain-specific needs

Start, maintain, and scale with minimal investment

Deploy a search index quickly and avoid operational maintenance. This fully managed cloud search service reduces the complexity of data ingestion and index creation by integrating with popular Azure storage solutions and offering index functionality exposed through a simple REST API or .NET SDK. Deploy a fully configured search service with intuitive user experiences such as scoring, faceting, suggestions, synonyms, and geo-search—all while avoiding the operational overhead needed to debug index corruption, monitor service availability, or manually scale during traffic fluctuations.

Create searchable content using pre-trained AI models

Take advantage of pre-trained speech, vision, and language models that transform raw, unstructured information into searchable content. Using the cognitive search feature, create enrichment pipelines that use built-in AI APIs to bring structure to your data before it gets indexed, either programmatically or while staying in the Azure Search portal. Applying AI capabilities such as OCR, key phrase extraction, location, people, and organization detection is as simple as checking a box in the Azure Search portal.

Customize to meet business goals and industry requirements

Extend the Azure Search platform to match your specific business goals and industry. Better understand your data using custom models and classifiers, such as legal clause classifiers or manufacturing material identifiers, available in any language or framework. After you’ve deployed your cloud search service, quickly adjust your search results using rich, custom-tuned ranking models to tie your results to your business goals.

Advanced data security and compliance

• Protect your content from malicious acts with encryption built-in throughout the entire indexing pipeline
• Meet a broad set of international and industry-specific compliance standards
• Control per-user access to content through security filters
• Get multilayer Microsoft security across physical data centers, infrastructure, and operations.

Azure search pricing

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Azure search alternatives-

1. Elastic search- ElasticSearch is a distributed, RESTful, free/open-source search server based on Java under the Apache License ( Lucene ).
2. Algolia- Algolia helps product teams connect their users with information by providing the building blocks they need to create fast, relevant, personalized search.
3. Apache SOLR- Solr is an open-source enterprise search server based on Lucene search library, with XML/HTTP and JSON APIs.  
4. Sphinx- Sphinx is a free software search engine designed with indexing database content in mind.
5. Expertrec- Expertrec is a paid search service that costs 9 USD per month.