Amazon Kendra OverviewUNIXBusinessApplication

What is Amazon Kendra?

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 Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Amazon Kendra Video

Archived Amazon Kendra Reviews (more than two years old)

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Quantitative Analyst at a financial services firm with 1,001-5,000 employees
Real User
Tunes the relevance and ranking of results which improves accuracy; price is very high
Pros and Cons
  • "Provides flexibility to tune the relevance and ranking of results."
  • "The time it takes for indexing documents could be reduced."

What is our primary use case?

This solution helps in the search for relevant documents. Similar to Google Search on public information, Kendra can help you do the search in your enterprise document repository. If you have a set of documents in your organization, and you want to perform a search and find documents that correspond to your query, then Kendra can provide the top results or a summary from the document content based on your query. We are service integrators and provide consulting services for different enterprise organizations in US.

What is most valuable?

Until recently, there wasn't an out-of-the-box service in the market for enterprise documents like Kendra. It also provides flexibility to tune the relevance and ranking of results, so that iteratively it can improve the accuracy of results.

What needs improvement?

In terms of improvement, cost is high on the list because this is a very expensive product. The solution could also be improved if the time for indexing documents could be reduced and it could be made incremental in nature where you don't need to reindex every document whenever new documents get added to the repository. It would be helpful if the process could be simplified, it's a pain point from the user perspective.

For how long have I used the solution?

I've been using this solution for about four months. 

What do I think about the stability of the solution?

This is a stable solution. 

What do I think about the scalability of the solution?

This is a very scalable solution and we'll continue to recommend it to our customers. 

How was the initial setup?

The initial setup is quite straightforward, but from the end user's experience it could be simplified, so that any power user can also go ahead and start using it. Indexing the documents is the time consuming aspect of deployment and it's generally where people struggle. It can take up to two or three hours depending on the size of the document repository. We implement ourselves, it doesn't require any specialization for installation, because these things can be done on Amazon Console.

What's my experience with pricing, setup cost, and licensing?

This is a pay per use solution. The calculation depends heavily on the number of documents, and the time we spend using that index.

What other advice do I have?

This is a really, really expensive solution making the adoption of it very difficult at the enterprise level.

I would rate this solution a seven out of 10, mainly due to the high cost. 

Which deployment model are you using for this solution?

Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer: Integrator
PeerSpot user