Software Alternatives & Reviews

Sphider VS Amazon Kendra

Compare Sphider VS Amazon Kendra and see what are their differences

Sphider logo Sphider

Sphider is a lightweight web spider and search engine written in PHP, using MySQL as its back end database.

Amazon Kendra logo Amazon Kendra

Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning.
  • Sphider Landing page
    Landing page //
    2019-12-07
  • Amazon Kendra Landing page
    Landing page //
    2021-10-30

Sphider videos

Sphider's Etsy update 1

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 Sphider and Amazon Kendra)
Custom Search Engine
23 23%
77% 77
Search Engine
23 23%
77% 77
Custom Search
22 22%
78% 78
Python Web Framework
100 100%
0% 0

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.

Sphider mentions (0)

We have not tracked any mentions of Sphider yet. Tracking of Sphider 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: 12 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 Sphider and Amazon Kendra, you can also consider the following products

Apache Lucene - High-performance, full-featured text search engine library written entirely in Java.

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

Sphinx Search - Sphinx is an open source full text search server, designed with performance, relevance (search quality), and integration simplicity in mind. Sphinx lets you either batch index and search data stored in files, an SQL database, NoSQL storage.

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.

PIPL Professional People Search Engine - PIPL professional search is used to find the person behind an email,phone or social profile and covers over 3 Billion people worldwide.

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