🤩 Meilisearch v1.4 is live
---------------------------

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Meilisearch v1.4 introduces the ability to configure **custom text separators** and **user-defined dictionaries**. Check out these shiny new features in action in our [video](https://www.youtube.com/watch?si=a8RiA4ZidNkC0Bgd&v=730tYmlFG9I&feature=youtu.be).  For more details, you can also read the [release blog post](/blog/v1-4-release/#newsletter&utm_source=october-news-23

[Read release blog](/blog/v1-4-release/#newsletter&utm_source=october-news-23)

🚀 Symfony success story
------------------------

![Symfony's search solution for 12M words of documentation with Meilisearch](https://unable-actionable-car.media.strapiapp.com/symfony_4179adf8bf.png)

With Meilisearch, Symfony enhanced the search functionality across its **30 versions and 12M words of documentation**, significantly **boosting the speed and quality** of search results.

[Read sucess story](/blog/symfonys-solution-for-documentation-search/)

🗓 Save the date: upcoming live demo
------------------------------------

![Getting started with Meilisearch Cloud. Featuring live demo, product release updates, and Q&A. Thursday, Novemeber 2nd. 4PM CET, 3PM GMT, 11AM EDT](https://unable-actionable-car.media.strapiapp.com/unnamed_0a521c383b.png)

Join us on **November 2nd** to see a **live demo** of **Meilisearch Cloud** and its key capabilities. Get a first sneak peek of our newest **Search Analytics product release**. Bring your questions for the **live Q&A session** with our experts: **Thomas, Meilisearch’s cofounder**; and **María from the Product team**.

👉 Secure your participation [here](https://us06web.zoom.us/meeting/register/tZMlc-mqrjIsH912-HTRe-AaT-pp41bDe81a#/registration).  
  
We look forward to seeing you there!

[Register now](https://us06web.zoom.us/meeting/register/tZMlc-mqrjIsH912-HTRe-AaT-pp41bDe81a#/registration)

* * *

📰 In the news
--------------

### 🔁 [Syncing Meilisearch with your PostgreSQL database](https://meilisearch.org.cn/docs/learn/cookbooks/meilisync_postgresql#newsletter&utm_source=october-news-23)

Learn how to keep Meilisearch in sync with your PostgreSQL database.

### 🔻 [Guide to hierarchical faceted search](/blog/nested-hierarchical-facets-guide/#newsletter&utm_source=october-news-23)

Structure data and use Meilisearch to navigate through nested hierarchical facets from general to specific categories.

### 🌥 [Getting started with Meilisearch Cloud](https://meilisearch.org.cn/docs/learn/getting_started/cloud_quick_start#newsletter&utm_source=october-news-23)

Our latest guide helps you get the best of Meilisearch without the hassle of self-hosting.

### 💾 [Squeezing millions of documents in 128 TB of virtual memory](/blog/dynamic-virtual-address-management/#newsletter&utm_source=october-news-23)

How dynamic management of virtual memory enabled us to remove limitations in Meilisearch indexing policy.

### 🤓 [Are you indexing the smart way?](/blog/best-practices-for-faster-indexing/#newsletter&utm_source=october-news-23)

Review the best practices to index your data efficiently and speed up the indexing process

* * *

🥰 Made with Meilisearch
------------------------

[Cardmapr](https://cardmapr.nl/) is back on the spotlight! Originally featured in our [newsletter #9](https://mailchi.mp/meilisearch/newsletter-5970105) for helping users discover businesses and their accepted credit cards, we're bringing it to the limelight again.

Why? They've  integrated a **WhatsApp service** into their platform. Now, users can send their location through WhatsApp, and thanks to **Meilisearch's [**geosearch**](https://meilisearch.org.cn/docs/learn/fine_tuning_results/geosearch)** capability, instantly receive nearby hotspots.

![nimated GIF showing a mobile phone screen displaying a messaging app. A message is received from 'Location' with the headline 'Locaties in Zwolle.' A brief summary mentions 157 locations found near the user's location in Zwolle, including 23 restaurants, 6 hotels, 20 fashion stores, and 13 supermarkets. There's also a link provided to view all these locations. ](https://unable-actionable-car.media.strapiapp.com/cardmapr_8a2b570a4e.gif)

<Callout>
  __We’re always looking to promote new projects from the community. Post yours in the__ [__#built-with-meilisearch__](https://discord.meilisearch.com/#blog.meilisearch.com) __Discord channel or share it on Twitter/X with the #MadeWithMeilisearch hashtag!__)
 
</Callout>

* * *

🏡 Life at Meili
----------------

Discover the rationale, implementation, and outcomes of our shift to a four-day workweek, reflecting our commitment to work-life balance while maintaining operational excellence.

![A pair of hands holding up a large red alarm clock with a white frame, set against a bright turquoise background. The clock displays 4:22 time. The person's nails are painted in a vibrant red to match the clock's face.](https://unable-actionable-car.media.strapiapp.com/malvestida_magazine_Ffb_VFLA_Vscw_unsplash_f041fe4532.jpeg)

[Read blog post](/blog/how-we-implemented-the-4-day-work-week/#newsletter&utm_source=october-news-23)

* * *

🦸 We are hiring!
-----------------

See our open positions:

*   [People Ops](https://jobs.lever.co/meili/e85fbbd1-0da5-48e1-b65c-35df12f97d76)
*   [Senior Account Executive](https://jobs.lever.co/meili/92e2ebdc-3023-4fbe-8dd2-c3cfc9ecd7bf)

* * *

Get these monthly updates straight to your inbox by subscribing to our [newsletter](https://meilisearch.us2.list-manage.com/subscribe?u=27870f7b71c908a8b359599fb&id=79582d828e&ref=blog.meilisearch.com).

For more things Meilisearch, join our developers community on [Discord](https://discord.gg/meilisearch/#blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/#blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions#blog.meilisearch.com).

Until next time.

Meilisearch October updates

**🚀 Introducing vector search**
--------------------------------

![Introducing Meilisearch's Vector search and Vector database to navigate the future of search](https://unable-actionable-car.media.strapiapp.com/introducing_vector_search_8e7f819b5e.png)

We’re excited to bring experimental support for vector search. This release introduces **semantic and hybrid search capabilities** to further enhance the search experience.

[Read the announcement](/blog/introducing-vector-search/)

**🤗 Hugging Face success story**
---------------------------------

![Hugging Face success story facilitating AI accessibility with Meilisearch Cloud](https://unable-actionable-car.media.strapiapp.com/huggingface_1d18e1c3b0.png)

Meilisearch powers the discovery of **300,000+ AI models, datasets, and demos** in the Hugging Face repository. Read to learn why Hugging Face chose Meilisearch Cloud to power their search.

[Read the success story](/blog/hugging-face-democratizes-ai/)

**📚 Introducing Documentation Crawler**
----------------------------------------

0:00

/

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We’re introducing the **Meilisearch Documentation Crawler** to enable to users integrate search into any docs site—paste your URL and let it do its magic. ✨ Check out the video or read the blog post below.

[Learn more about the Documentation Crawler](/blog/documentation-crawler-release/)

* * *

**📰 In the news**
------------------

### 🔄 [Syncing Meilisearch with your MySQL database](https://meilisearch.org.cn/docs/learn/cookbooks/meilisync_mysql#newsletter&utm_source=september-news-23)

Learn how to keep Meilisearch in sync with your MySQL database.

### 🔝 [How to boost your search results with filter scoring](/blog/filter-scoring-guide/#newsletter&utm_source=september-news-23)

Assign weights to your filters and prioritize documents based on how well they match your criteria.

### 🦜🔗 [A step-by-step tutorial to building semantic search](/blog/langchain-semantic-search-tutorial/#newsletter&utm_source=september-news-23)

Learn how to use **LangChain** with Meilisearch to build semantic search using similarity search.

### 🔍 [Refining facets by ID with InstantSearch](/blog/id-based-facets-guide/#newsletter&utm_source=september-news-23)

Read this community article how to use Meilisearch with Pydantic.

### 🔼 [Vercel marketplace integration](https://vercel.com/integrations/meilisearch-cloud)

The Vercel marketplace now lists 1 search integration—Meilisearch.

### 🍿 [Prose linting with Vale](/blog/prose-linting-with-vale/#newsletter&utm_source=september-news-23)

Learn the importance of a style guide in technical writing and how Vale ensures your content complies with it.

* * *

🤗 Made with Meilisearch
------------------------

Our project of the month is [notiondesk.so](https://notiondesk.so/). Notiondesk allows you to turn a Notion database into a help center for customers.

Notiondesk use Meilisearch to power search in the help centers. Take a look at the search in [this example](https://help.bazarafrique.com/fr).

[![The easiest way to build a help center with Notion](https://unable-actionable-car.media.strapiapp.com/Screenshot_2023_09_18_at_18_27_37_1f3e6deccc.png)](https://notiondesk.so/)

<Callout>
  _We’re always looking to promote new projects from the community. Post yours in the_ [_#built-with-meilisearch_](https://discord.meilisearch.com/) _Discord channel!_
</Callout>

* * *

**🏡 Life at Meili**
--------------------

Our off-sites are designed to help people bond and get to know each other better without taking away the spontaneity of the connection. We want people to have fun without feeling pressured to perform.

[![Brittany, France](https://unable-actionable-car.media.strapiapp.com/Bretagne_1_5c86b3b085.jpg)](/blog/organizing-a-people-first-offsite/)

Brittany, France

[Read the blog post](/blog/organizing-a-people-first-offsite/)

* * *

**🦸‍♀️ We’re hiring!**
-----------------------

See our open positions:

*   [Head of Finance](https://jobs.lever.co/meili/14970d91-fb2f-4130-b568-97872eb62b31)
*   [Founding Account Executive](https://jobs.lever.co/meili/92e2ebdc-3023-4fbe-8dd2-c3cfc9ecd7bf)

* * *

Get these monthly updates straight to your inbox by subscribing to our [newsletter](https://meilisearch.us2.list-manage.com/subscribe?u=27870f7b71c908a8b359599fb&id=79582d828e&ref=blog.meilisearch.com).

For more things Meilisearch, join our developers community on [Discord](https://discord.gg/meilisearch/#blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/#blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions#blog.meilisearch.com).

Until next time.

Meilisearch September Updates

At Meilisearch, we have long maintained our commitment to simplifying and streamlining the search process by prioritizing intuitive, user-friendly, and human-like search experiences.

In today's search technology landscape, _[keyword search](https://meilisearch.org.cn/docs/learn/what_is_meilisearch/overview#vector-search&utm_source=blog&utm_medium=launch#features)_ continues to play a pivotal role, swiftly locating content via specific keywords. Leveraging advanced algorithms and robust indexing, it ensures users find relevant information across vast data volumes.

However, traditional keyword approaches have inherent limitations in understanding user intent and at times can be overly predictable and simplistic. This is why we are introducing Meilisearch's _[vector search](https://meilisearch.org.cn/docs/learn/experimental/vector_search#vector-search&utm_source=blog&utm_medium=launch),_ which aims to challenge and enhance the familiar keyword search paradigm.

Vector search for AI-enhanced future
------------------------------------

The market-wide introduction of _vector search_ marks the arrival of a new era for search technology, with countless versatile applications. In _e-commerce_, it offers product recommendations based on similarities and multi-modal search capabilities such as image, audio, and video search. The fusion of vector search with conversational AI technologies opens doors for intuitive Q&A applications. Adding user data like geolocation and search history further expands its potential.

New search technology enhances relevancy alongside traditional keywords with semantic understanding going beyond simple keyword matching. It is capable of comprehending intent, returning results like **\[gloves\]** from a **\[warm clothes\]** query. These applications rely on _vector embeddings_—a type of data representation with semantic information that enables AI to gain understanding and maintain long-term memory. Stored in _vector databases_, embeddings represent different data dimensions, essential for understanding patterns and relationships. AI-powered vector database then leverages this information when matching search queries to answers.

Democratizing search
--------------------

In a data-rich world, effective content discovery is not a luxury - it’s crucial. Meilisearch's vision balances ambition with accessibility, aiming to make cutting-edge search technology inclusive. Key Meilisearch partners, such as [Hugging Face](/blog/hugging-face-democratizes-ai/ are already actively testing Meilisearch’s new vector database and storage capabilities.

> **Quentin de Quelen, Meilisearch’s CEO and Co-founder, said:** _“Meilisearch's hybrid search will democratize advanced search technology, focusing on simplicity and open-source customizability.”_

Building the future of search with vector search
------------------------------------------------

This release brings semantic and hybrid search capabilities to enhance applications for image, video, and audio search, product recommendations for e-commerce, precise personalization, and intuitive Q&A interactions.

Here are a few examples of potential applications made possible with the introduction of vector search:

*   **Semantic understanding:** Enable your search engine to act as a human-like assistant, delivering natural, context-aware results in a more conversational manner
*   **Multiformat capabilities:** Cover images, audio, and video, ensuring versatility.
*   **Personalization**: Matches preferences for tailored results, with a deeper understanding of user behavior and preferences,
*   **Precise Recommendations:** Enhance the discovery experience by suggesting similar items that align with users' genuine interests.
*   **Improved accuracy:** Improve relevancy and search accuracy through a deep understanding of each search query's meaning

Search evolution culminates in a hybrid search
----------------------------------------------

Meilisearch's journey leads to _hybrid search_, which combines traditional full-text efficiency with the innovation of semantic search and the adaptability of vector database. The hybrid approach enables search solutions to cater to a broad spectrum of use cases driven by customer-generated data sources. By integrating models from AI solution providers like OpenAI, Cohere AI, or Hugging Face, Meilisearch empowers users to calibrate _vector embeddings_ and infuse their business logic into the search engine.

Getting started
---------------

<Callout>
  For more guidance on how to get started, explore our [step-by-step tutorial on building semantic search with LangChain](/blog/langchain-semantic-search-tutorial/#vector-search&utm_source=blog&utm_medium=launch)
</Callout>
```json
from langchain.vectorstores import Meilisearch
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.document_loaders import JSONLoader

# Load documents
loader = JSONLoader(
    file_path="./movies.json",
    jq_schema=".[] | {id: .id, title: .title, overview: .overview}",
    text_content=False,
)
documents = loader.load()

# Index documents
embeddings = OpenAIEmbeddings()
vector_store = Meilisearch.from_documents(documents=documents, embedding=embeddings)

# Search
query = "superhero fighting villains in a city corrupted by crime"
results = vector_store.similarity_search(
    query=query,
    k=3,
)

```

If you want to use Meilisearch vector search capabilities without LangChain, choose your favorite language and check out the [relevant SDK documentation here](https://meilisearch.org.cn/docs/learn/what_is_meilisearch/sdks#vector-search&utm_source=blog&utm_medium=launch).

Want the quality of open-source without the headache of managing your servers and service? [Sign up for a free trial](https://meilisearch.org.cn/cloud#vector-search&utm_source=blog&utm_medium=launch) with Meilisearch Cloud today.

Introducing Meilisearch's vector search and vector database to navigate the future of search

Hey there, here's your monthly recap of everything Meilisearch. Let's dive in!

**🚀 Releasing Meilisearch v1.3**
---------------------------------

[![What's new? v1.3](https://unable-actionable-car.media.strapiapp.com/75_454d2f4f6e.png)](/blog/v1-3-release/)

We released v1.3 which introduces **vector search**, **ranking score details**, **search for facet values**, and **dynamic searchable fields**.

[Read the release blog](/blog/v1-3-release/)*🔢 Vector search is coming to Meilisearch**
---------------------------------------------

[![Empowering search through AI: vector storage is coming to Meilisearch](https://unable-actionable-car.media.strapiapp.com/73_1_1_65f8c54f7d.png)](/blog/vector-search-announcement/)

Vector search is our first step towards **semantic search**. It is an important step toward our long-term goal of providing **hybrid search**: combining the benefits of full-text and semantic search.

[Read the announcement](/blog/vector-search-announcement/)*🤝 Qogita customer story**
----------------------------

[![Qogita success story: simplifying B2B trade with Meilisearch Cloud](https://unable-actionable-car.media.strapiapp.com/78_1_1_ea6d441573.png)](/blog/qogita-simplifies-b2b-trade/)

With **Meilisearch Cloud**, Qogita can ensure high seller exposure and increased relevancy, resulting in an excellent buyer-seller interaction.

[Read the success story](/blog/qogita-simplifies-b2b-trade/)*📰 In the news**
------------------

  
**🦜🔗** [Meilisearch LangChain integration guide](https://python.langchain.ac.cn/docs/integrations/vectorstores/meilisearch)

Learn how to integrate the Meilisearch vector store in LangChain.

🏀 [From ranking to scoring](/blog/from-ranking-to-scoring/)ead about our engineers journey to add relevancy scores to search results.

🎮 [Meilisearch SaaS demo](https://saas.meilisearch.com/)

We’ve released a new demo feature using **multi-search**, **multi-tenancy**, **filtering**, and **sorting** using Laravel.

⚡️ [Blazing fast async data loading in Meilisearch using Python](https://thedataquarry.com/posts/meilisearch-async/)

Read this community article how to use Meilisearch with Pydantic.

🍿 [Meilisearch, the open-source search engine with a UX focus](https://www.youtube.com/watch?v=ncnBRrF-e2g)

Watch this talk explaining how to use Meilisearch (in French, subtitles available.)

**🤗 Made with Meilisearch**
----------------------------

Our featured project of the month is [pbvault.com](https://www.pbvault.com/). Paintball Vault is a marketplace where you can easily buy, sell, and trade both your used and new paintball gear.

The main navigation search bar and all the product grids throughout the site and app use Meilisearch to make browsing intuitive and easy.

[![Screenshot of pbvault.com](https://unable-actionable-car.media.strapiapp.com/www_pbvault_com_3cda884404.png)](pbvault.com)

Buy, sell, and trade paintball gear on pbvault.com

_We’re always looking to promote new projects from the community. Post yours in the_ [_#built-with-meilisearch_](https://discord.meilisearch.com/) _Discord channel!_

**🏡 Life at Meili**
--------------------

Remote work is the future of work: find out how we aim to improve inclusivity and work-life balance through remote-working.

[![A forest](https://unable-actionable-car.media.strapiapp.com/remote_work_is_the_future_of_work_cover_2fb7ead2fa.jpg)](/blog/remote-work-is-the-future-of-work/)

[Read the blog post](/blog/remote-work-is-the-future-of-work/)*🦸‍♀️ We’re hiring!**
-----------------------

See our open positions:

*   [Head of Finance](https://jobs.lever.co/meili/14970d91-fb2f-4130-b568-97872eb62b31)
*   [Founding Account Executive](https://jobs.lever.co/meili/92e2ebdc-3023-4fbe-8dd2-c3cfc9ecd7bf)

* * *

Get these monthly updates straight to your inbox by subscribing to our [newsletter](https://meilisearch.us2.list-manage.com/subscribe?u=27870f7b71c908a8b359599fb&id=79582d828e).

For more things Meilisearch, join our developers community on [Discord](https://discord.gg/meilisearch/#blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/#blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions#blog.meilisearch.com).

Until next time.

Meilisearch August updates

Welcome to your bi-monthly dose of Meilisearch updates.

🤩 Meilisearch v1.2 is live
---------------------------

[![](https://unable-actionable-car.media.strapiapp.com/81602999_c47b_e299_27e9_41c0dee01e68_6a600f9d34.png)](/blog/v1-2-release/)

Meilisearch v1.2 is here everybody! Don’t forget to update your current version of Meilisearch to the latest one available to enjoy all the news features such as:

*   **Enhanced document management** via filters ⚒️
*   New IS NULL and IS EMPTY **filter operators** ✨
*   **Engine improvements 🚀**
*   And more!

Check out Laurent’s blog post for an in-depth look at [what is new in v1.2](/blog/v1-2-release/#release-post&utm_id=v1-announcement&utm_content=whats-new-in-v1.2#new-update

* * *

🐾 What to expect from v1.3
---------------------------

With all that being said, we want to pump you up for the start of a new week! Here's the list of things we're working on for v1.3:

*   Search for **facet values**
*   Displaying **ranking details** at search
*   Sort **facet values** by alphanumerical or value count order
*   Customizing **text separators**
*   Define **fields to search on** at search-time

<Callout>
  The release candidate for v1.3 is out—[try it now](https://github.com/meilisearch/meilisearch/releases/tag/v1.3.0-rc.0)!
</Callout>

We hope to have caught your attention now…

* * *

🤖 Vector search for Meilisearch
--------------------------------

Last but not least, v1.3 will also bring **Vector Search**! We’ve started experimenting with it for the first time this year and are excited to take our first steps into AI. [Read the announcement](/blog/vector-search-announcement/  
  
If you’re as curious as us about this topic, we’re delighted to announce [we’ve released a prototype](https://github.com/meilisearch/product/discussions/621#discussioncomment-6183647) that allows Meilisearch to serve as a vector store. With this prototype, Meilisearch accepts vectors in the documents, stores them, and lets users retrieve the nearest documents using the search endpoint.  
  
We’d be grateful if you wanted to try our prototype and [share your feedback with us in this Discord conversation](https://discord.com/channels/1006923006964154428/1118827065890844733/1118827065890844733).

* * *

📰 In the news
--------------

  
**Community**

🎁 [June giveaway!](https://twitter.com/meilisearch/status/1666032750187429889)

This June, we’re hosting a giveaway! To join it, submit a PR in any of our repos, have it merged by a member of our team, and share the link to it in the ⁠[giveaway channel](https://discord.com/channels/1006923006964154428/1111273670657200198) of [our Discord](https://discord.gg/meilisearch). You’ll automatically be participating in the lottery for the chance to win some exclusive Meiliswag, similar to the one you can see below!

[![](https://unable-actionable-car.media.strapiapp.com/0f8251b0_f453_1509_8ed4_4f986132fc44_6510326af9.png)](https://twitter.com/meilisearch/status/1666032750187429889)

**Product**

☁️ [Search-as-a-service Meilisearch Cloud is open to the public](/blog/meilisearch-cloud-general-availability/#release-post&utm_id=cloud-announcement&utm_content=earch-as-a-service#meilisearch-cloud)

Now any business can benefit from Meilisearch’s exceptional developer and search experience without dealing with server management!

🧠 [Squeezing millions of documents in 128 TB of virtual memory](/blog/dynamic-virtual-address-management/#tech-post&utm_id=virtual-memory&utm_content=Squeezing-millions-of-documents-in-128-TB-of-virtual-memory)

Curious to know more about how dynamic management of virtual memory enabled us to remove limitations in Meilisearch indexing policy? Check out this blog post!

**Success stories**

👶 [Minipouce.fr provides a top-grade customer experience with Meilisearch's open-source offering](/blog/minipouce-top-grade-customer-experience/#customer-experience&utm_id=minipouce-customer-experience&utm_content=Minipouce-fr-provides-a-top-grade-customer-experience-with-Meilisearchs-open-source-offering)

With Meilisearch, Minipouce.fr can maintain its commitment to delivering the best possible user experience. Read about Minipouce’s efforts to make parents’ lives easier.

📚 [Bookshop.org increases search-based purchases by 43% with Meilisearch](/blog/bookshop-increases-search-based-purchases/?#customer-experience&utm_id=bookshop-customer-experience&utm_content=Bookshop-org-increases-search-based-purchases-by-43%-with-Meilisearch)

How Meilisearch helped Bookshop.org boost their sales and how we made it happen.

* * *

🌾 Made with Meilisearch
------------------------

Our featured project of the month is [1jeune1solution.gouv.fr](https://www.1jeune1solution.gouv.fr/) submitted by our Meilistar **[LiquidIT](https://github.com/LiquidITGuy)**. This platform is an French government’s initiative to help young people get into the job market. Meilisearch allows users to search through a comprehensive list of jobs to quickly find their ideal offer.

[![](https://unable-actionable-car.media.strapiapp.com/0b6c7c06_926e_4a0f_bc3d_55cabc6dfc28_0a959bbdcf.gif)](https://www.1jeune1solution.gouv.fr/stages)

The website is built with **Next.js** and the repository is [available on Github](https://github.com/DNUM-SocialGouv/1j1s-front/). The codebase gives numerous examples of how to implement Meilisearch with **React InstantSearch Hooks** using facets, custom components, and URL synchronization.

We’re always looking to promote new projects from the community. Post yours in our [#built-with-meilisearch](https://discord.gg/meilisearch) Discord channel!

* * *

👯‍♂️ Meilisearch life
----------------------

The HR team presents a rundown of our best practices for a successful offsite with a remote-first team.

[![](https://unable-actionable-car.media.strapiapp.com/9347396d_ae70_588d_0d88_567674b7bec1_85da0966b1.jpg)](/blog/organizing-a-people-first-offsite/#hr-post&utm_id=hr-organization&utm_content=organizing-a-people-first-offsite)

We are recruiting!

*   [Account Executive](https://jobs.lever.co/meili/92e2ebdc-3023-4fbe-8dd2-c3cfc9ecd7bf)

Wishing that you pass all your CI pipelines,

_The Meilisearch team_

Meilisearch July updates

Vector search enables efficient retrieval of objects sharing similar characteristics. This AI-powered search technique uses embedding vectors. These vectors are mathematical representations of objects generated by machine learning models (like LLMs). Starting with the 1.3 release, Meilisearch supports storing and searching vectors.

<Callout>
  Meilisearch v1.3 is out! Read the [release notes](/blog/v1-3-release/#vector-search&utm_source=blog&utm_medium=announcement)
</Callout>

Powering the Future of Search
-----------------------------

Vector search might be the dawn of a new era for search. Its use cases are numerous. In [ecommerce](https://ecommerce.meilisearch.com/#vector-search&utm_source=blog&utm_medium=announcement), it enables offering recommendations for similar products. It also allows building multi-modal search, like image or audio search. Building upon conversational AI technologies enables the creation of Q&A applications. Combining vector search with user-provided information like geolocation and search history can power even more contextual search experiences.

Vector search is also the foundation for [semantic search](https://en.wikipedia.org/wiki/Semantic_search), which aims to understand the query’s meaning. Conversely, traditional lexical search only matches keywords. With semantic search, a `warm clothes` query could give results like `gloves`, `coat`, and more results related to winter clothing.

Vector search unlocks a world of new capabilities for search. Take a look at what some users have already implemented:

*   [similar videos recommendations](https://github.com/adrienpoly/rubyvideo/pull/19) on a site listing Ruby conferences
*   a [documentation chatbot](https://blazy-chat.vercel.app/) proof of concept using [GPT3.5](https://platform.openai.com/docs/models/gpt-3-5) and [LangChain](https://github.com/hwchase17/langchain)

<Callout>
  Meilisearch is available as a [LangChain vector store](https://python.langchain.ac.cn/docs/integrations/vectorstores/meilisearch).
</Callout>

Getting Started with Meilisearch Vector Store
---------------------------------------------

  
Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice ([Hugging Face](https://hugging-face.cn/), [OpenAI](https://openai.com/)).

First, spin up a Meilisearch instance. You can [install Meilisearch locally](https://meilisearch.org.cn/docs/learn/getting_started/installation#vector-search&utm_source=blog&utm_medium=announcement#local-installation) or create a [Meilisearch Cloud](https://meilisearch.org.cn/cloud#vector-search&utm_source=blog&utm_medium=announcement) account.

Then, enable the _vector store_ experimental feature:

```Bash
curl \
  -X PATCH 'http://localhost:7700/experimental-features/' \
  -H 'Content-Type: application/json'  \
  --data-binary '{
    "vectorStore": true
  }'
```
<Callout>
  This guide uses \`curl\` to make HTTP requests to communicate with Meilisearch. In practice, we recommend using our [SDKs](https://github.com/meilisearch/integration-guides) instead.
</Callout>

Meilisearch now accepts a `_vector` field in your documents. Use it to store the vector embeddings corresponding to your document in this field.

```Bash
curl -X POST -H 'content-type: application/json' \
     'localhost:7700/indexes/songs/documents' \
     --data-binary '[
         { "id": 0, "_vectors": [0, 0.8, -0.2], "title": "Across The Universe" },
         { "id": 1, "_vectors": [1, -0.2, 0], "title": "All Things Must Pass" },
         { "id": 2, "_vectors": [0.5, 3, 1], "title": "And Your Bird Can Sing" }
     ]'
```

After storing your vectorized documents in Meilisearch, you can query them using the `search` or `multi-search` route. To do this, you need to compute the vector of your query (using a third-party tool) and send it in the `vector` field.

```Bash
curl -X POST -H 'content-type: application/json' \
   'localhost:7700/indexes/songs/search' \
   --data-binary '{ "vector": [0, 1, 2] }'
```

When using vector search, returned documents include a `semanticScore` field:

```Bash
{
  "hits": [
    { "id": 0, "_vectors": [0, 0.8, -0.2], "title": "Across The Universe", "_semanticScore": 0.6754 },
    { "id": 1, "_vectors": [1, -0.2, 0], "title": "All Things Must Pass", "_semanticScore": 0.7546 },
    { "id": 2, "_vectors": [0.5, 3, 1], "title": "And Your Bird Can Sing", "_semanticScore": 0.78 }
  ],
  "query": "",
  "vector": [0, 1, 2],
  "processingTimeMs": 0,
  "limit": 20,
  "offset": 0,
  "estimatedTotalHits": 2
}

```
<Callout>
  This API is experimental. You can help us improve it by sharing your feedback in [this Github discussion](https://github.com/meilisearch/product/discussions/677#vector-search&utm_source=blog&utm_medium=textlink).
</Callout>

A First Step Toward Semantic Search
-----------------------------------

Vector search is our first step towards semantic search. But our long-term goal is to provide hybrid search—combining the benefits of full-text and semantic search to provide the most relevant search experience. Clément Renault, founder and CTO of Meilisearch, shared his thoughts on Github about [exploring semantic search](https://github.com/meilisearch/meilisearch/issues/3838#vector-search&utm_source=blog&utm_medium=textlink) — read for a founder’s perspective. We can’t wait to share more with you!

Drop your email below to learn more about our progress with AI-powered search. We’ll keep you posted on all updates regarding vector search & semantic search.

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We’re excited to walk our first steps toward semantic search. We can’t wait to hear your thoughts on integrating Meilisearch as a vector store. You can give your feedback in [this Github discussion](https://github.com/meilisearch/product/discussions/677#vector-search&utm_source=blog&utm_medium=textlink).

You can stay in the loop by subscribing to our [newsletter](https://meilisearch.us2.list-manage.com/subscribe?u=27870f7b71c908a8b359599fb&id=79582d828e&utm_campaign=vector-search&utm_source=blog&utm_medium=textlink). To learn more about Meilisearch's future and help shape it, look at our [roadmap](https://roadmap.meilisearch.com/#vector-search&utm_source=blog&utm_medium=textlink) and participate in our [Product Discussions](https://github.com/meilisearch/product/discussions/#vector-search&utm_source=blog&utm_medium=textlink).

For anything else, join our developers community on [Discord](https://discord.meilisearch.com/#vector-search&utm_source=blog&utm_medium=announcement).

I’ll see you there.

Vector storage is coming to Meilisearch to empower search through AI

After three years of hard work and dedication, we are thrilled to announce **the launch of Meilisearch 1.0**. With this release, Meilisearch has taken a stride forward in its mission to help developers create fast, powerful, and reliable search experiences.

With more than 32,000 GitHub stargazers and 100,000 launches per month, Meilisearch is already well-loved by its community. Now, after countless hours spent polishing the API and architecture to perfection, we are confident and happy to release the first completely stable version of Meilisearch, with guaranteed compatibility through future versions.

Creating a seamless search experience for your users can be a daunting task, but it is crucial to help your business **elevate user satisfaction, drive conversions, and increase retention**. Enter **Meilisearch v1**: the most performant search engine on the market with zero setup required.

What is Meilisearch?
====================

**Meilisearch is an open-source, user-focused search engine** that easily integrates with any website or application. It features powerful built-in capabilities such as [search-as-you-type](https://docs.meilisearch.com/learn/what_is_meilisearch/features.html#release-post&utm_id=v1-announcement&utm_content=search-as-you-type#search-as-you-type), [typo tolerance](https://docs.meilisearch.com/learn/what_is_meilisearch/features.html#release-post&utm_id=v1-announcement&utm_content=typo-tolerant#typo-tolerant), [faceted search](https://docs.meilisearch.com/learn/what_is_meilisearch/features.html#release-post&utm_id=v1-announcement&utm_content=faceted-search#faceting), [geo search](https://docs.meilisearch.com/learn/advanced/geosearch.html#release-post&utm_id=v1-announcement&utm_content=geosearch), and [multi-tenancy](https://docs.meilisearch.com/learn/security/tenant_tokens.html#release-post&utm_id=v1-announcement&utm_content=multitenancy). A suite of [SDKs and libraries](https://docs.meilisearch.com/learn/what_is_meilisearch/sdks.html#release-post&utm_id=v1-announcement&utm_content=integrations) makes it easy to connect with popular coding languages and web tools. When it comes to languages, Meilisearch supports them all, with special optimizations for any language that uses whitespace to separate words, plus Chinese, Japanese, Hebrew, Thai, and Korean.

> We found that, with our prior search engine (**Elasticsearch**), **14%** of searches resulted in a purchase, and with _**Meilisearch**, **20%**_ of searches were resulting in a purchase. That's a **huge improvement** without a lot of development time: 1 out of 5 customers found the book they were looking for and purchased it.  
> \- Andy Hunter, CEO of [Bookshop.org](https://Bookshop.org)

<Callout>
  Check [Bookshop.org full customer story](/blog/bookshop-increases-search-based-purchases/)
 </Callout>

From e-commerce to SaaS, media, and beyond, businesses from all industries trust Meilisearch to power their search needs. Don't let lackluster search hold you back any longer: [try Meilisearch today](https://meilisearch.org.cn/#release-post&utm_id=v1-announcement&utm_content=landing).

Why do companies love Meilisearch?
==================================

Simplicity
----------

We're a team of developers who understand the importance of a great developer experience. Even if you have the most flexible and powerful tool in the world, it doesn’t count for much if it’s painful to use and understand. That's why we made Meilisearch: to give developers the tool they need to create awesome search experiences, without provoking headaches or gray hairs.

The **consistency** and **predictability** of Meilisearch’s design make it easy to integrate into your chosen technical stack. Our comprehensive [documentation](https://docs.meilisearch.com/#release-post&utm_id=v1-announcement&utm_content=docs) and [developer tools](https://docs.meilisearch.com/learn/what_is_meilisearch/sdks.html#release-post&utm_id=v1-announcement&utm_content=integrations2) are designed to help you from start to success.

**Meilisearch works out of the box with no configuration needed**. But we understand that every project is different, so we've made customization easy. You can tailor it to your needs in just a few minutes, so you don't have to be a search expert to get the most out of Meilisearch.

Relevancy
---------

Relevancy, meaning the quality and accuracy of the search results, is a crucial aspect of any search engine. Irrelevant or poor-quality results can lead to a poor user experience, reducing sales, and causing users to lose trust in your brand. Conversely, users are more likely to return to, trust, and engage with brands that provide relevant search experiences.

> As a user, it felt like magic compared to other solutions I've tried. I'm not sure whether it's related to how typo tolerance works or if it's related to the default settings. Still, right after setting up Meilisearch with no particular tweak, I've got fantastically relevant results.  
> \- Anthony Catel, Co-founder of [minipouce](https://www.minipouce.fr/)

Meilisearch provides a **pre-configured set of ranking rules** that enable you to achieve **high relevancy right out of the box**, while also accepting customization to meet individual needs. These default settings were developed iteratively by working directly with our users, and are sure to satisfy almost all use cases.

Performance
-----------

In today's fast-paced digital world, search plays a crucial role in user experience. Being able to deliver relevant results quickly is key to the success of almost any product.

One [report from Deloitte](https://www2.deloitte.com/content/dam/Deloitte/ie/Documents/Consulting/Milliseconds_Make_Millions_report.pdf) shows that a mere 0.1s change in load time can have a noticeable influence on the user journey, increasing conversions by 8% for retail sites and 10% for travel sites.

**Meilisearch returns results in as little as 0.05s**. It is designed from the ground up for performance, making it an essential addition to your technical stack.

What’s included?
================

Search-as-you-type
------------------

For a long time, users were accustomed to typing search queries, pressing enter, and waiting for a page to load to view results. Those days are over, as technological improvements have ushered in the age of “search-as-you-type.”

By providing results instantly as the user types their query, **Meilisearch helps users make more precise searches and quickly find what they are looking for.** In today’s internet, “search-as-you-type” is a must-have feature that greatly improves overall satisfaction and retention.

Typo tolerance
--------------

Typos happen. [According to the VP of Search at Google](https://blog.google/products/search/abcs-spelling-google-search/), as many as 1 in 10 searches are misspelled. [A Baymard Institute UX study](https://baymard.com/research/ecommerce-search) also reports that out of 185 major e-commerce sites, 34% don’t return useful results when users misspell even a single character in a product title.

![](https://unable-actionable-car.media.strapiapp.com/where2watch_1_a98051676f.gif)

[See Meilisearch in action here](https://where2watch.meilisearch.com/#release-post&utm_id=v1-announcement&utm_content=where2watch)

These statistics highlight the importance of using a search solution that can effectively handle spelling mistakes. **Meilisearch’s customizable typo tolerance allows for more accurate and relevant search results** even when users don’t type perfectly. Even better, it isn’t limited to Latin-based languages.

Faceted search
--------------

E-commerce merchants with large catalogs have a particular challenge to overcome. Potential buyers can get [overwhelmed by possibilities](https://neilpatel.com/blog/too-many-choices/), becoming less likely to make a purchase simply due to the effort of making a decision.

Fortunately, faceted search interfaces solve this problem.

Faceted search is a powerful tool that gives customers the power to apply filters and narrow down search results based on their needs and desires. By helping shoppers view the products they’re looking for based on criteria such as size, color, and style, the likelihood of a purchase is increased.

**Meilisearch makes it easy to integrate faceted search into any e-commerce storefront**. With just a few lines of code, you can upgrade your store's search capabilities, increasing sales and customer satisfaction.

Geo search
----------

Geo search, also known as location-based search or local search, is becoming increasingly important for modern web applications. With the fast-paced nature of today's world, people are constantly on the move and looking for quick and easy ways to find the information they need, such as **nearby businesses, services, or other points of interest**.

Meilisearch meets this need, providing simple methods to [sort search results by their location or filter results based on a geographic radius](https://docs.meilisearch.com/learn/advanced/geosearch.html#release-post&utm_id=v1-announcement&utm_content=geosearch2). This helps developers build more personalized and modern applications.

API keys and multi-tenant indexes
---------------------------------

Thanks to [fine-grained API key management](https://docs.meilisearch.com/learn/security/master_api_keys.html#release-post&utm_id=v1-announcement&utm_content=API-key-management), you can personalize **Meilisearch to comply with your organization’s security requirements**. Create API keys with custom permissions and expiration dates to ensure secure and flexible access to your data.

If your application is storing sensitive data from multiple users in the same index, it's very important that each user can only search for their own documents. You can trust Meilisearch’s many SDKs to provide methods to generate [tenant tokens](https://docs.meilisearch.com/learn/security/tenant_tokens.html#release-post&utm_id=v1-announcement&utm_content=multitenancy2).

What’s next?
============

We will stay devoted to our core concepts of simplicity, speed, and relevance to keep empowering all builders.

We’ll keep collaborating with the open-source community and focusing on the Developer Experience to ensure **Meilisearch users can provide the best search experience in their websites and applications**.

Start building with Meilisearch v1.0
====================================

You can **get started with Meilisearch in just a few minutes**—everything works out of the box, no configuration required! All you need to do is choose the hosting solution that fits your business requirements, add documents, and you’re off.

### Try our solution: Meilisearch Cloud

Need to build fast, be compliant, or save resources? [Meilisearch Cloud](https://meilisearch.org.cn/pricing#release-post&utm_id=v1-announcement&utm_content=cloud) takes care of everything, so you can focus on the most important thing: making your users happy.

### Build your own solution: self-hosting

Since Meilisearch is open-source, you can host your own Meilisearch instance. Run Meilisearch and start searching through your data in less than five minutes by following our [quick start guide](https://docs.meilisearch.com/learn/getting_started/quick_start.html#release-post&utm_id=v1-announcement&utm_content=quick-start).

🧰 For both solutions, we provide a large number of [developer tools](https://docs.meilisearch.com/learn/what_is_meilisearch/sdks.html#release-post&utm_id=v1-announcement&utm_content=integrations3) and [reliable documentation](https://docs.meilisearch.com/#release-post&utm_id=v1-announcement&utm_content=docs2) to help you connect your code base with Meilisearch.

Meilisearch 1.0: the next stage in search

Hi, I’m [Quentin de Quelen](/blog/author/quentin/)he CEO of Meilisearch, an open-source search engine API built in Rust. At Meilisearch, we are committed to the open-source community and believe in the power of collaboration to drive innovation. This year, we made significant strides in delivering the best possible search experience to our users and customers, including raising funds, launching new products in beta, and continuing to optimize our engine and improve our API.

This article will highlight some of the major improvements that we made in 2022.

New product: Meilisearch Cloud
------------------------------

Back in March of 2022, we communicated for the first time about [Meilisearch Cloud](https://cloud.meilisearch.com/), our fully-managed search engine solution for organizations of all sizes. This new offering makes it easy and fast to set up a search engine without technical expertise or infrastructure management.

After almost a full year of closed beta, [we opened Meilisearch Cloud](/blog/the-history-of-meilisearch-cloud/)o the world at the end of 2022. While there are still a few improvements coming before we officially release the product—such as usage-based price which aims to give users the flexibility to scale their search engine as needed—we’re tremendously proud of the progress we made in 2022.

We believe Meilisearch Cloud will revolutionize the search industry and are dedicated to continuously improving and evolving the product. We would love to hear your feedback on this new offering and are excited to see how it can benefit our users and customers.

Strengthening the search engine
-------------------------------

In 2022, we released six major versions of the Meilisearch engine: [v0.25](/blog/whats-new-in-v0-25/)[v0.26](/blog/whats-new-in-v0-26/) [v0.27](/blog/whats-new-in-v0-27/) [v0.28](/blog/whats-new-in-v0-28/) [v0.29](/blog/whats-new-in-v0-29/) and [v0.30](/blog/whats-new-in-v0-30/)ach release brought significant new features, performance improvements, and quality-of-life changes. This resulted in a **fivefold increase** in the number of Meilisearch users in only one year.

![](https://unable-actionable-car.media.strapiapp.com/monthly_active_databases_9dfee93d83.png)

Usage of Meilisearch over 2022

### New features

********************************Nested documents********************************  
This year, Meilisearch gained full support for [nested document fields](https://docs.meilisearch.com/learn/advanced/datatypes.html#objects). This feature allows users to access and use nested fields in any API parameter that accepts document attributes, simply by using dot notation. We want users to be able to take advantage of Meilisearch's capabilities without ever having to format their data.

******************API keys and tenant tokens******************  
We introduced API key management in Meilisearch in 2022. With [tenant tokens](https://docs.meilisearch.com/learn/security/tenant_tokens.html#multitenancy-and-tenant-tokens), developers can now create JWTs (JSON Web Tokens) on the fly that restrict access to specific documents based on the end user making the search request. This allows for multi-tenant indexes and gives developers more control over the search experience for their users.

**************New filter operations**************  
We've added two new operators to the [existing filtering capabilities](https://meilisearch.org.cn/docs/learn/advanced/filtering): `EXISTS` and `IN`. When combined with the `NOT` (`!`) operator, they provide greater flexibility and precision in search results. This makes it easier for users to find what they're looking for and get the most out of Meilisearch's powerful search capabilities.

************************************Configuration file************************************  
Meilisearch now accepts a [configuration file](https://docs.meilisearch.com/learn/configuration/instance_options.html#configuration-file) in the `.toml` format as an alternative to command-line options and environment variables. Configuration files can be easily shared, versioned, and allow for the definition of multiple options.

************************************Full pagination support************************************  
Pagination is critical for some applications, but for a long time Meilisearch was not well equipped for [pagination-based navigation](/blog/pagination-vs-infinite-scroll-vs-load-more/)o address this, we introduced two new search parameters: `page` and `hitsPerPage`. Queries with these parameters return the exhaustive number of `totalHits` and `totalPages`, which can be used to create UI elements such as numbered page selectors.

### Performance improvements

Coming into 2022, we knew that indexation performance was one of the biggest issues with Meilisearch. While we were incredibly fast on search, this brought with it a tradeoff on indexing.

A few months ago, we recommended to people with more than 10M documents not to use Meilisearch, as the time to index their documents would be absurd. I'm proud to say that this is no longer the case!

********************************************Optimized task manager********************************************  
This year, we introduced [auto-batching](https://docs.meilisearch.com/learn/core_concepts/documents.html#auto-batching) of tasks, which has greatly improved performance. This was accompanied by a completely rewritten task manager that adds a lot of intelligence to task queue management. It can recognize different tasks, reorganize them, and even delete unnecessary ones. This new task manager also enabled us to add features like task [cancellation](https://docs.meilisearch.com/reference/api/tasks.html#cancel-tasks) and deletion, and [index swapping](https://docs.meilisearch.com/reference/api/indexes.html#swap-indexes) for zero downtime deployments.

****************Optimized indexation****************  
Our team has also worked hard to improve indexation speed. In brief, we added a soft deletion mechanism that improves both deletion and document update, optimized all aspects of filtering and sorting, and optimized RAM and CPU consumption during indexation.

This work is not yet complete; we have many more ideas to improve indexation performance. Nonetheless, we believe that the progress we made this year was significant! If you are still having issues with indexation speed, please reach out to us on [Discord](https://discord.meilisearch.com).

### Better developer experience

Our engine is built on three pillars: relevancy, speed, and developer experience, or DX. We have always prioritized DX as we made changes to the engine, but this came with the trade-off of introducing many breaking changes as we pursued an intuitive HTTP API.

Many API endpoints changed in 2022. The first is the search endpoint; we have completely reimplemented the [cropping](https://docs.meilisearch.com/reference/api/search.html#attributes-to-crop) of fields, with something smarter that looks at the field context to crop in the best place. We also, as mentioned before, changed the task management system entirely with a new API that allows canceling and deleting tasks.

The good news is that the breaking changes are almost over: **stability is coming to Meilisearch’s API**. You won't have to wait long for [v1](https://github.com/meilisearch/meilisearch/milestone/37), as it's planned for February 2023!

### Overall improvements

In 2022, our team implemented several enhancements to make Meilisearch more customizable and user-friendly.

****************************Typo tolerance****************************  
In v0.27, we added the ability to [customize the typo tolerance](https://docs.meilisearch.com/learn/configuration/typo_tolerance.html#configuring-typo-tolerance) applied to search queries. This allows users to set the level of tolerance they desire for misspellings, making it easier to find relevant results even if the query is not perfectly accurate.

**********************************************Improved cropping and highlighting**********************************************  
In addition, Meilisearch now allows users to customize how search results are displayed, including the level of [cropping](https://docs.meilisearch.com/reference/api/search.html#crop-marker) and [highlighting](https://docs.meilisearch.com/reference/api/search.html#highlight-tags) applied to the results. You can now choose your own highlight tags and put the HTML ones you need, or [select the number of words](https://docs.meilisearch.com/reference/api/search.html#crop-length) you want to keep while cropping.

******************************************Search result limits******************************************  
Meilisearch has been improved to allow for [customizable limits](https://docs.meilisearch.com/reference/api/settings.html#pagination) on the number of search results returned. This can help optimize search performance and limit the amount of data returned, as well as improve security practices.

**********************Matching strategy**********************  
Finally, Meilisearch has added the ability to customize the [matching strategy](https://docs.meilisearch.com/reference/api/search.html#sort) used to match search queries to documents. You can now choose between two different strategies: one that requires all words present in the query to be present in matches, and one that accepts results that contain only some of those words.

**************************New language optimizations**************************  
Meilisearch has recently added Japanese, Hebrew, and Thai to its already extensive [list of supported languages](https://docs.meilisearch.com/learn/what_is_meilisearch/language.html#language). Contributors can now more easily propose new languages to support, helping the Meilisearch team to continue expanding its language offerings.

A growing toolbox
-----------------

I could not be more proud to showcase the accomplishments of our integration team, the team at Meilisearch responsible for creating new integrations and diligently updating existing ones.

In 2022, our integration team:

*   Developed three major integrations: [Firebase](/blog/firebase-meilisearch/)Gatsby](/blog/add-a-search-bar-to-your-gatsby-project-using-meilisearch/ and [Strapi](/blog/strapi-v4-plugin-meilisearch/)   Kept our 10 officially supported SDKs up to date: [JavaScript,](https://github.com/meilisearch/meilisearch-js) [PHP,](https://github.com/meilisearch/meilisearch-php) [Python,](https://github.com/meilisearch/meilisearch-python) [Ruby,](https://github.com/meilisearch/meilisearch-ruby) [.Net,](https://github.com/meilisearch/meilisearch-dotnet) [Dart,](https://github.com/meilisearch/meilisearch-dart) [Golang,](https://github.com/meilisearch/meilisearch-go) [Java,](https://github.com/meilisearch/meilisearch-java) [Rust,](https://github.com/meilisearch/meilisearch-rust) [Swift](https://github.com/meilisearch/meilisearch-swift)
*   Updated integrations for three frameworks: [Laravel Scout](https://github.com/laravel/scout), [Symfony](https://github.com/meilisearch/meilisearch-symfony), [Ruby on Rails](https://github.com/meilisearch/meilisearch-rails)
*   Updated five frontend integrations: [Angular](https://github.com/meilisearch/meilisearch-angular), [React](https://github.com/meilisearch/meilisearch-react), [Vue](https://github.com/meilisearch/meilisearch-vue), [instant-meilisearch](https://github.com/meilisearch/meilisearch-js-plugins/tree/main/packages/instant-meilisearch), [doc-searchbar.js](https://github.com/meilisearch/docs-searchbar.js)

![](https://unable-actionable-car.media.strapiapp.com/integrations_meilisearch_2e28ef98ef.png)

Meilisearch integrations

These achievements demonstrate our dedication to providing our users and customers with smooth integration options for their search needs. With the upcoming release of Meilisearch v1, our integration team will be able to focus even more on new integrations and projects. So, don't forget to give us [feedback](https://roadmap.meilisearch.com/tabs/1-under-consideration) on which integrations you'd like to see next!

A constant focus on the community
---------------------------------

2022 has been an exciting year for the Meilisearch community. We saw tremendous growth in engagement and contributions, resulting in significant improvements to our search engine.

This year, the number of stars on our main repository reached an impressive 31.5k. We had approximately 500 external contributors, who together merged over 1000 pull requests. This level of participation and collaboration has been instrumental in driving innovation and enhancing the Meilisearch experience for our users and customers.

### Special events

In addition to our regular contributions, we had a successful [Hacktoberfest](/blog/hacktoberfest-2022-recap/)his year. This global event brings together developers to work on open-source projects, and we were delighted to be one of them. The influx of talent and energy from Hacktoberfest resulted in improvements to our SDKs, integrations, and engine.

We also participated in [Advent of Code](https://aoc.meilisearch.com) for the first time. This programming challenge is a great way to engage with the community and encourage problem-solving and collaboration. We are always looking for ways to foster a strong and engaged community, and Advent of Code was a great opportunity to do so.

Finally, we recently migrated our community from [Slack to Discord](/blog/from-slack-to-discord-our-migration/)his move has been highly anticipated, and we are excited about the potential for increased communication and collaboration. We believe Discord will be a great place for our community to share ideas, get help, and work on projects.

### Documentation

In addition to our work in the community, we also made significant strides forward in our [documentation](https://docs.meilisearch.com/) in 2022.

Besides keeping the Meilisearch documentation up to date, this year our documentation team published many new guides and tutorials, including the [Meilisearch 101](https://docs.meilisearch.com/learn/getting_started/filtering_and_sorting.html), a brief overview of everything you need to know to create with Meilisearch. We also released a guide on [migrating from Algolia](https://meilisearch.org.cn/docs/learn/update_and_migration/algolia_migration), a [benchmark](https://docs.meilisearch.com/learn/what_is_meilisearch/comparison_to_alternatives.html#comparison-table) of how Meilisearch stacks up against the competition, and tons of guides related to new features such as [API keys](https://docs.meilisearch.com/learn/security/master_api_keys.html), [tenant tokens](https://docs.meilisearch.com/learn/security/tenant_tokens.html), and [pagination](https://docs.meilisearch.com/learn/advanced/pagination.html). All of these resources are designed to help our users and customers get the most out of Meilisearch.

Our documentation team also undertook a major review and reorganization of our documentation, with the goal of making it even more user-friendly and comprehensive. This is just the start of our efforts in this area, and we are committed to continuously improving the quality and accessibility of our documentation.

### Blog

Throughout 2022, we continued to release high-quality articles on our blog. It’s impossible to choose just one post, but some highlights include [a comparison of different types of pagination](/blog/pagination-vs-infinite-scroll-vs-load-more/)the announcement of our $15M Series A](/blog/meilisearch-series-a/ an explanation of [how we implemented a salary grid at Meilisearch](/blog/our-approach-to-salaries/)nd [a lovely series of interviews](/blog/tag/meet-the-team/)ith Meilisearch employees. We also published numerous [demos, guides, and tutorials](/blog/tag/using-meilisearch/)!

We love creating content for our blog and sharing stories from within the company. If you enjoyed one of our blog posts this year, [let us know](https://twitter.com/meilisearch) which one!

Being a better company
----------------------

This year, we focused on our employees' well-being. First of all, we implemented a transparent salary grid to ensure fair pay for all team members. Additionally, we established a comprehensive mental health support program with resources and assistance for those who need it.

Inclusivity is a core value at Meilisearch. We've placed great emphasis on creating an inclusive work environment and culture. This is evident in our recruitment process, which includes scorecards to reduce bias and aims to select candidates with diverse backgrounds, experiences, and skills.

At Meilisearch, we believe that by investing in the growth and development of our employees, we can create a stronger and more successful company. To support this growth, this year we implemented an improved feedback loop that allows for ongoing communication and coaching between employees and their managers. By understanding our employees' aspirations better, we can provide them with the support and resources they need to succeed, both at Meilisearch and in the rest of their careers.

Conclusion
----------

To wrap this up, it has been an outstanding year for Meilisearch. I am grateful to every single member of the team for the work they put in to make our search engine a success. I also want to thank the community for their invaluable support and contributions. I think I speak for everyone at Meilisearch when I say that we look forward to bringing this forward momentum with us into 2023 and continuing to provide our users and customers with the best possible search experience.

Looking ahead to the coming year, we are excited to continue delivering new and improved features to our users and customers. If you have any feedback or suggestions for our [roadmap](https://roadmap.meilisearch.com), we encourage you to reach out and let us know what you need. We are always looking for ways to improve and evolve, and your input is an important part of that process. Thank you again for your support, and we look forward to continuing to work with you in 2023!

Meilisearch in 2022

We are happy to announce that Meilisearch has raised a 15M$ Series A. This round was led by [Felicis](https://www.felicis.com/news/meili) with the participation of [Guillermo Rauch](https://twitter.com/rauchg), CEO of Vercel, and our existing investors [CRV](https://www.crv.com/), [Mango Capital](https://www.mangocapitalinc.com/), [LocalGlobe](https://localglobe.vc/), and [Seedcamp](https://seedcamp.com/). This new financing will help us to fulfill our mission—making search more accessible and more efficient for everyone—while allowing us to bring Meilisearch to an even larger audience worldwide.

A brief history of Meilisearch
------------------------------

We founded Meilisearch in 2019 because we were dissatisfied with the search solutions available on the market. We noticed how slow and irrelevant search results could degrade user experience in apps and websites. There had to be a better way.

While working on search technology at large e-commerce companies, we gained experience in building efficient search engines. So we decided to create our own search engine from scratch in Rust, and we open-sourced it to help every other developer struggling like us.

![A4 - 2.png](https://unable-actionable-car.media.strapiapp.com/A4_2_f84c47f309.png)

Meilisearch timeline

In 2020, we introduced Meilisearch to the world. In no time at all, hundreds of developers and organizations worldwide had embraced it. After witnessing such quick user adoption, we realized that there was a significant product-market fit.

![star-history-20221013.png](https://unable-actionable-car.media.strapiapp.com/star_history_20221013_2787264894.png)

GitHub star growth

Since then, we have experienced incredible growth in open-source adoption—one of the fastest growth rates of any COSS project. Our GitHub star traction is an indicator of how trendy Meilisearch has become, as well as how eagerly awaited our product has been by a massive community. Every month there are more than 100K users downloading Meilisearch and more than 10K applications using it.

This will remain unchanged
--------------------------

Meilisearch is and will always be open source. It’s part of our DNA and will stay in our company culture and how we think about products for as long as we exist.

Working in open source is incredibly rewarding, particularly with a community like ours. Our community members actively contribute to our codebase and our roadmap. Through their feedback, they help us consider use cases we wouldn’t have thought of. They’re our best ambassadors and introduce Meilisearch usage within their companies. I don’t know how Meilisearch could exist without the support of our community.

![Meilisearch {"<3"} Open Source](https://unable-actionable-car.media.strapiapp.com/A4_4_56bbfc7ad3.png)

Meilisearch {"<3"} Open Source

Creating a company has one huge advantage: you can shape it as you want. Meaning that you have full power over not only the direction the product is growing in, but also the culture the company will have. I’m so proud of the fantastic team we have created at Meilisearch. Through our joint effort, we have succeeded in creating a truly remarkable place to work.

![A4 - 1.png](https://unable-actionable-car.media.strapiapp.com/A4_1_be49eed673.png)

Meilisearch perks and benefits

Growing a company is hard. Keeping our culture is and will be hard. That’s why we spend so much time on HR-related decisions; we know the only way to keep our culture is by ensuring that employees grow with the company and carefully hiring those who fit with what we already have. We have big objectives, but we do not want to lose anyone on the road to obtaining them.

Looking forward
---------------

When we started building Meilisearch, it was with the idea to create a search solution that could fit both individual developers’ and enterprises’ needs. While we spent the last three years focusing on creating the best tool for developers and growing our open-source community, we are now entering the next phase: scaling Meilisearch’s team, product, and business for enterprises.

It’s super simple to use and put Meilisearch into production. However, most enterprises don’t want to manage software they didn’t create. Enterprises are also asking for more than just Meilisearch, the open-source search engine: they need a search solution with scalability, geo-replication, and analytics. To answer this demand, we have developed Meilisearch Cloud, a hosted version of Meilisearch that allows users to instantaneously have access to our technology in a few clicks. We would like to thank our beta testers, without whom Meilisearch Cloud would not exist as it does today!

Let me now give you a brief overview of Meilisearch’s aspirations for the future.

### Fast everywhere

We are, without a doubt, in a global world where the users and the data can be anywhere. One core principle of Meilisearch is to return an answer to any search query in a few milliseconds. But what if the service is hosted in the US and the search request originates from the EU? The experience will be degraded due to latency. That is why, especially with Meilisearch Cloud, we would love to break this barrier by creating a globally distributed search service. It’ll be a huge and very exciting challenge for our teams to make this possible.

We don't have small dreams. In the future, we would like to see Meilisearch running on the edge! We have already worked on a bunch of prototypes, and we would love to see how this technology could improve the search experience for our clients’ apps.

### Easier than ever

In the early days of Meilisearch, we understood that developer experience is key to success. Today, we are super proud to have a product so simple that it’s possible for any developer to try it in just a few minutes. Developer experience will remain a primary focus of our product and engineering team.

There are two parts to integrating Meilisearch. The first one is connecting Meilisearch to your data and making sure it’s synchronized. The second is building an interface that allows your users access to this data through our search API.

Concerning the first one, we will make sure that it’s easy for any developer to connect Meilisearch to their stacks. We already have SDKs for most languages, integrations for the most known web frameworks, plugins, and some awesome tools. But we will go even further. Being able to connect Meilisearch to your data in a few clicks will become a reality.

On the frontend side, it’s already possible to create a custom search bar thanks to our SDKs and libraries, particularly [instant-meilisearch](https://github.com/meilisearch/meilisearch-js-plugins/tree/main/packages/instant-meilisearch). Again, we would go further. We want every developer to be able to install a high-quality search bar into their website or application with no effort. That is why we would like to simplify the front-end installation of Meilisearch to require only a single line of JavaScript.

### Smarter than before

Everyone is different, which means that for the same request, different people should receive different answers based on their preferences. Meilisearch already parses most languages perfectly—we are always improving this part thanks to the community. The next big milestone for us would be to bring even more logic into the comprehension of user intent and the personalization of users’ results based on their previous searches or external data.

Not only is each person different, but each company is too. Most companies have totally different use cases that require different search behavior. A Notion search and a Booking search will not have the same requirement or the same business logic. To be honest, that’s one of the biggest challenges regarding the search topic. Today, even if we accommodate most of the regular use cases, we have a clear view of how to make Meilisearch customizable depending on the business logic. This will allow enterprises to put their ML models right into the Meilisearch engine.

What’s next
-----------

These projects will take time. So I'd like to tease you a little bit about some of the exciting things coming up in the next few months.

The very first project is one that has been talked about for months. One of the most important projects started since the creation of the search engine. I'm talking about [Meilisearch Cloud](https://cloud.meilisearch.com/register). For the many people waiting in the waiting list and the companies that can't wait for the GA of Meilisearch Cloud, your wish will soon be granted! Our team is working hard to get it out as soon as possible.

We have a second big announcement, and it will make every developer super happy. We are super proud to announce that Meilisearch V1 is planned!

If you look hard enough, you will find traces of the release day. Even if Meilisearch has been technically stable for years, we made a bet not to go beyond V1 in order to be able to iterate as much as possible on our developer experience. This was a great success. Now that we have stabilized our API, it is time to make V1 a reality.

As we are constantly releasing new features and projects, I recommend you to subscribe to our newsletter or follow the specific repos that interest you on Github. If you have specific needs or ideas for us, don't hesitate to leave feedback on our [roadmap](https://roadmap.meilisearch.com/tabs/5-ideas).

**Join us**
-----------

As you may have already understood, we are ambitious at Meilisearch. Thanks to this last fundraising, we have everything we need to go further. The only thing we are missing now is you.

If you want to know more about how it is to work at Meilisearch, I invite you to read our [blog](/blog/tag/company-news/)r discuss it with the team on our [community Slack](https://slack.meilisearch.com). If you’re already convinced about joining Meilisearch, we have not released every open position, so don’t hesitate to make a spontaneous application. We will hire a lot of engineers, PM, PMM, and other roles in the months and years to come. [https://jobs.lever.co/meili](https://jobs.lever.co/meili)

Press kit
---------

**Read our Press Release below**

[Meilisearch series A PR October 2022](/blog/content/files/2022/10/Meilisearch-series-A-PR----October-2022-1.pdf)("Download")

**Media Coverage:**

*   Techcrunch - [Meilisearch lands $15M investment to grow its ‘search-as-a-service’ business](https://techcrunch.com/2022/10/10/meilisearch-lands-15m-investment-to-grow-its-search-as-a-service-business/)
*   Felicis Ventures - [Searching for the Edge: How Meilisearch Is Building the Search Engine of the Future](https://www.felicis.com/news/meili)

Meilisearch 最新资讯和公司动态

Meilisearch 十月更新

Meilisearch 九月更新

介绍 Meilisearch 的向量搜索和向量数据库，引领未来搜索方向

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Meilisearch 七月更新

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2022 年的 Meilisearch

Meilisearch 完成 1500 万美元 A 轮融资，以提供企业级产品和服务