Microsoft Search Description
Enterprise search can increase productivity and save time by delivering more relevant search results to your company. Microsoft Search makes it easy to find the information you need to complete your task. Microsoft Search can be used throughout your day to find answers to common questions. Microsoft Search allows users to find the right people, content, and answers to complete their tasks within the app they are already using. Users receive relevant results that are relevant to the context of the app from which they search. When they search in Microsoft Outlook they find emails and not SharePoint sites. They can search SharePoint to find files, pages, and sites. Microsoft Search is personalized regardless of the app that users are using. Microsoft Search uses insights from Microsoft Graph to show relevant results for each user.
Microsoft Search Alternatives
Bing Custom Search
A simple-to-use, ad free, commercial-grade search engine that will deliver the results you desire. Create a search that suits your needs. The Bing Custom Search API provides powerful ranking, a global search index, and document processing in a fast, simple setup. The core technology works in four stages: it identifies on-topic sites and images and provides automatic query suggestions. It then applies the Bing ranker to deliver relevant search results. You can adjust the parameters to access usage insights at any time. Define which parts of the web you wish to draw from, so that users only see relevant results from domains, subsites, or web pages you select. To expand the scope of your search domain, explore site suggestions. To get a complete view of search results and ranking, use Bing's global-scale index. You can create a compelling search experience for web pages, images, or autosuggested keywords.
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Azure Cognitive Search
Azure Cognitive Search is the only cloud service that integrates AI capabilities to enrich all types information and make it easy to identify and explore relevant content on a scale. It was formerly known as Azure Search. It uses the same integrated Microsoft natural-language stack that Bing, Office, and others have used for over a decade and AI services across vision and language. Spend more time innovating than maintaining complex cloud search solutions. You can quickly deploy a search index and avoid any operational maintenance. This cloud search service is fully managed and reduces the complexity of data input and index creation. It integrates with popular Azure storage solutions, and exposes index functionality via a simple REST API and.NET SDK. You can deploy a fully-configured search service that offers intuitive user experiences, such as suggestions, faceting, synonyms, and geosearch, while avoiding operational overhead.
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Amazon Kendra
Amazon Kendra, a machine learning-powered enterprise search service, is highly accurate and simple to use. Kendra provides powerful natural language search capabilities for your websites and apps so that your end users can find the information they need in the large amount of content across your company. Natural language questions are better than keywords. This will allow you to find the answers you need, whether it is a specific answer or an entire document. You can stop searching through endless links for the information you are looking for and just focus on finding it. Information silos can be eliminated. Kendra allows you to easily add content from file system, SharePoint, intranet websites, file sharing services, etc. into a central location. This will allow you to quickly search for all your information and find the best answer. Kendra's machine-learning algorithms learn which results are most valuable to you and improve your search results.
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Onna
Onna, a real time search solution, allows you to connect and search across a growing number of cloud platforms. Onna helps users access eDiscovery and find high-value items across all legal departments. Onna allows users to report, collaborate, manage compliance, and share documents. Onna integrates well with other data sources such as DropBox, Confluence, and Gmail.
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Integrations
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
docs.microsoft.com/en-us/microsoftsearch/
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Online
Microsoft Search Features and Options
Enterprise Search Software
AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery
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