Software Alternatives & Reviews

Sinequa VS Amazon Kendra

Compare Sinequa VS Amazon Kendra and see what are their differences

Sinequa logo Sinequa

Sinequa provides a real-time big data search & analytics platform and offers access to all structured and unstructured data.

Amazon Kendra logo Amazon Kendra

Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning.
  • Sinequa Landing page
    Landing page //
    2023-10-04
  • Amazon Kendra Landing page
    Landing page //
    2021-10-30

Sinequa videos

Sinequa Series Streaming - COVID-19 Intelligent Insight

Amazon Kendra videos

Building enterprise search service using Amazon Kendra | AWS Machine Learning

More videos:

  • Review - Amazon Kendra: Transform the Way You Search and Interact with Enterprise Data Using AI
  • Tutorial - AWS Tutorials - Build enterprise search service using Amazon Kendra

Category Popularity

0-100% (relative to Sinequa and Amazon Kendra)
NLP And Text Analytics
100 100%
0% 0
Custom Search
38 38%
62% 62
Natural Language Processing
Custom Search Engine
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon Kendra seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sinequa mentions (0)

We have not tracked any mentions of Sinequa yet. Tracking of Sinequa recommendations started around Mar 2021.

Amazon Kendra mentions (7)

  • How to Build Chatbots with Amazon Bedrock & LangChain
    I recommend you look deeper at LangChain if you are not already familiar with it. You can also look at the aws-samples Github page; they have some great examples to get you started. For example, you could add Amazon Kendra to the mix. Connect it with one of its many sources, like Atlassian Confluence, and set up Langchain to utilize the Kendra retriever. And now you have a chatbot that can answer questions based... - Source: dev.to / 6 months ago
  • [P] Integrating a language model into an e-commerce website
    If you're doing this on AWS they already have a really contained solution for this. I'm sure Azure has a similar solution. I'll assume AWS - if so, AWS Kendra is a good place to start. This will give you performant natural language understanding and enterprise search support. Then you just need to map the rest of your desired functions to core AWS solutions. Source: 11 months ago
  • Amazon Titan
    > > One of the most important capabilities of Bedrock is how easy it is to customize a model. Customers simply point Bedrock at a few labeled examples in Amazon S3, and the service can fine-tune the model for a particular task without having to annotate large volumes of data (as few as 20 examples is enough) I can't even. Does anyone remember Amazon Kendra [1]? They promised the same there. "Here's an ML powered... - Source: Hacker News / about 1 year ago
  • AWS NLP newsletter November 2022
    Amazon Kendra is now FedRAMP High Compliant. Amazon Kendra is now authorized as FedRAMP High in AWS GovCloud (US-West) Region. Amazon Kendra is a highly accurate intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it's scattered across multiple... - Source: dev.to / over 1 year ago
  • Serverless Event Driven AI as a Service
    It supports using Lambdas for fulfilling specific duties, such as placing orders, as well as integrating into Kendra which is a ML powered search service. You can effectively have a conversation asking for information and it can intelligently look through your business domain and respond with answers in a naturally conversational way. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Sinequa and Amazon Kendra, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

monkeylearn - Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Google Cloud Natural Language API - Natural language API using Google machine learning

Curiosity.ai - Find everything everywhere: Curiosity puts all your information at your fingertips so you can focus and get more done.