"Provides flexibility to tune the relevance and ranking of results."
"The most valuable feature is the ability to perform a natural language search."
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.
Amazon Kendra is ranked 2nd in Search as a Service with 1 review while Solr is ranked 7th in Search as a Service with 1 review. Amazon Kendra is rated 7.0, while Solr is rated 8.0. The top reviewer of Amazon Kendra writes "Tunes the relevance and ranking of results which improves accuracy; price is very high". On the other hand, the top reviewer of Solr writes "The Natural Language Search capability is helpful and intuitive for our users". Amazon Kendra is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch, Azure Search, Elastic Enterprise Search and Algolia, whereas Solr is most compared with Amazon AWS CloudSearch, Elastic Enterprise Search, Azure Search and Algolia.
See our list of best Search as a Service vendors.
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