MeiliSearch vs Amazon Kendra: What are the differences?

Developers describe MeiliSearch as "Ultra relevant, instant and typo-tolerant full-text search API *". It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms. On the other hand, *Amazon Kendra** is detailed as "Enterprise search service powered by machine learning". It is a highly accurate and easy to use enterprise search service that’s powered by machine learning. It delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company.

MeiliSearch and Amazon Kendra can be primarily classified as "Search as a Service" tools.

Some of the features offered by MeiliSearch are:

• Search as-you-type experience (answers < 50ms)
• Full-text search
• Typo tolerant (understands typos and spelling mistakes)

On the other hand, Amazon Kendra provides the following key features:

• Natural language & keyword support
• Reading comprehension & FAQ matching
• Document ranking

MeiliSearch is an open source tool with 1.29K GitHub stars and 42 GitHub forks. Here's a link to MeiliSearch's open source repository on GitHub.