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Meilisearch VS Swift AI

Compare Meilisearch VS Swift AI and see what are their differences

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Meilisearch logo Meilisearch

Ultra relevant, instant, and typo-tolerant full-text search API

Swift AI logo Swift AI

Artificial intelligence and machine learning library written in Swift.
  • Meilisearch Landing page
    Landing page //
    2023-12-16

Meilisearch 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.

  • Swift AI Landing page
    Landing page //
    2023-10-19

Meilisearch features and specs

  • Speed
    Meilisearch is optimized for performance and provides very fast search capabilities, often with response times in milliseconds.
  • Relevance
    It offers advanced search features like typo tolerance, synonyms, and configurable ranking rules to ensure highly relevant search results.
  • Ease of Use
    Designed to be user-friendly with a straightforward RESTful API, making it easy to integrate and use.
  • Open Source
    Meilisearch is open source, allowing developers to inspect the code, contribute, and customize it to fit their own needs.
  • Language Support
    It supports multiple languages, ensuring effective full-text search capabilities in various linguistic contexts.
  • Lightweight
    Meilisearch is lightweight and can be deployed on modest hardware, making it suitable for small to medium-sized projects.
  • Real-time Indexing
    It offers real-time indexing, allowing the index to be updated without significant downtime or delay.

Possible disadvantages of Meilisearch

  • Maturity
    As a relatively young project, it may lack some advanced features and optimizations found in more established search solutions like Elasticsearch.
  • Ecosystem
    The ecosystem and community around Meilisearch are still growing, so you might find fewer plugins, extensions, and third-party tools compared to more mature solutions.
  • Scalability
    While suitable for small to medium projects, it might not be as scalable for very large datasets or highly complex queries compared to other search engines like Solr or Elasticsearch.
  • Complex Query Handling
    Meilisearch focuses on simplicity, which means it may lack some of the advanced query capabilities provided by more complex search engines.
  • Documentation
    Though improving, the documentation may not be as comprehensive as that of longer-established projects, which could lead to a steeper learning curve for some users.

Swift AI features and specs

  • Native Swift Integration
    Swift AI is written in Swift, making it easy to integrate with iOS and macOS applications without requiring additional language bindings.
  • Open Source
    Being open source, developers can contribute to or customize the library according to their specific needs.
  • Performance Optimizations
    Swift is known for its performance, and using Swift AI can leverage this performance for AI and machine learning tasks on Apple platforms.
  • Community Support
    An available and active community can be beneficial for troubleshooting, getting updates, and sharing best practices.

Possible disadvantages of Swift AI

  • Limited Ecosystem
    Compared to more established AI frameworks like TensorFlow or PyTorch, Swift AI has a smaller ecosystem and fewer community-made resources or plugins.
  • Learning Curve
    Swift AI might not be as well-documented as other AI libraries, potentially resulting in a steeper learning curve for new users.
  • Compatibility Issues
    There may be compatibility issues with non-Apple platforms as Swift AI is primarily tailored for Apple ecosystems.
  • Maintenance and Updates
    The frequency of updates and maintenance could be a concern if the project lacks enough contributors or community interest.

Analysis of Meilisearch

Overall verdict

  • Meilisearch is considered a good choice for those looking for a simple, yet powerful search engine solution. It is particularly well-suited for use cases where speed and relevance are critical, and when there is a need for a developer-friendly, open-source product.

Why this product is good

  • Meilisearch is an open-source search engine that is known for its speed and relevance. It is designed to provide fast and relevant search results with minimal configuration. Meilisearch offers features like typo tolerance, filters, and highly customizable search behavior, making it ideal for developers looking to integrate a powerful search experience into their applications. Its ease of setup, lightweight nature, and ease of use make it a popular choice among developers.

Recommended for

    Meilisearch is recommended for developers and small to medium-sized businesses that need a fast and effective search solution with minimal setup time. It is also ideal for projects where open-source technologies are preferred and where there is a need for customization and flexibility in search functionalities.

Analysis of Swift AI

Overall verdict

  • Swift AI can be considered good within its context and intended use. It is particularly beneficial for developers who are familiar with Swift and are looking to implement machine learning models into their Apple ecosystem applications. However, for more advanced or broader AI applications, other libraries like TensorFlow or PyTorch might be more suitable.

Why this product is good

  • Swift AI is a machine learning library implemented in Swift, the influential programming language developed by Apple. It leverages the power and efficiency of Swift to offer a straightforward API for machine learning on Apple’s platforms. This makes it particularly beneficial for developers focused on iOS or macOS applications who want to integrate AI capabilities while using Swift’s performance advantages.

Recommended for

    Swift AI is recommended for developers who are already using Swift for their iOS or macOS projects and are looking to incorporate machine learning capabilities directly into their applications without having to switch to another language. It is ideal for those who prefer the syntax and performance of Swift and are aiming to benefit from tight integration with Apple’s platforms.

Category Popularity

0-100% (relative to Meilisearch and Swift AI)

Meilisearch

Swift AI

Custom Search Engine
100 100%
Custom Search Engine
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Search Engine
100 100%
Search Engine
0% 0
AI
0 0%
AI
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Meilisearch and Swift AI

Meilisearch Reviews

5 Open-Source Search Engines For your Website
MeiliSearch is an open-source, blazingly fast and hyper-relevant search engine that will improve your search experience. It provides an extensive toolset for customization. It works out-of-the-box with a preset that easily answers the needs of most applications. Communication is done with a RESTful API because most developers are already familiar with its norms.
Source: vishnuch.tech
MeiliSearch: Zero-config alternative to Elasticsearch, made in Rust | Hacker News
"We send events to our Amplitude instance to be aware of the number of people who use MeiliSearch. We only send the platform on which the server runs once by day. No other information is sent. If you do not want us to send events, you can disable these analytics by using the MEILI_NO_ANALYTICS env variable."
Source: news.ycombinator.com
Recommendations for Poor Man's ElasticSearch on AWS?
I'd second these two. I've been following them for quite some time. I even did an extensive research on which one I'd use, and I ended up with Typesense. I don't remember the specific reasoning though. Both seem quite good. MeiliSearch is written in Rust, which makes it more "hipsterish" ;)
Source: www.indiehackers.com

Swift AI Reviews

We have no reviews of Swift AI yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Meilisearch seems to be more popular. It has been mentiond 4 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.

Meilisearch mentions (4)

  • Show HN: Cardstock- Free TCG Proxy Manager for Magic, Yugioh, & Pokemon
    This thing is amazing. Kamal gives me everything I could want (easy console access, easy shell access, a way to manage secrets, a way to see my logs, and letsencrypt support for DNS), all without a PaaS tax. The best part is the accessories feature: https://kamal-deploy.org/docs/commands/accessory/. I am running my main app with two accessories: Meilisearch(https://meilisearch.com) and OpenObserve... - Source: Hacker News / 5 months ago
  • Show HN: Hyvor Blogs – Multi-language blogging platform
    Meilisearch [https://meilisearch.com] for the search index. - Source: Hacker News / about 2 years ago
  • Meilisearch, the Rust search engine, just raised $5M
    Meilisearch is an open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. You can find more info on our website https://meilisearch.com. Source: over 3 years ago
  • Search engines for website
    Algolia.com - new plans are very affordable Meilisearch.com - open source. Source: about 4 years ago

Swift AI mentions (0)

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

What are some alternatives?

When comparing Meilisearch and Swift AI, you can also consider the following products

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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.

Knet - Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

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

Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning

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