**🚀 Announcing Meilisearch 1.6**
---------------------------------

[![Meilisearch 1.6 release notes](https://unable-actionable-car.media.strapiapp.com/meilisearch_1_6_1_25b4cb0c21.jpg)](/blog/meilisearch-1-6/?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

Meilisearch 1.6 brings **hybrid search**, significant **improvements in indexing speed**, and a new API to **customize the proximity** ranking rule. Read the release notes to get the full picture.

[Read release notes](/blog/meilisearch-1-6/?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

🔍 Typesense comparison
-----------------------

[![Meilisearch vs Typesense](https://unable-actionable-car.media.strapiapp.com/meilisearch_vs_typesense_cover_1_3b17eec4c2.jpg)](/blog/meilisearch-vs-typesense/?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

We sat down to compare the key features between Meilisearch and open-source search engine **Typesense**. You can read the comparison on our blog.

[Read comparison](/blog/meilisearch-vs-typesense/?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

🤗 New docs home
----------------

![Meilisearch documentation](https://unable-actionable-car.media.strapiapp.com/Screenshot_2024_01_23_at_17_16_39_e046f3c318.png)

We spent some time reworking our **docs home page** to make it more welcoming for developers. We also made **example apps** easier to find. Let us know what you think!

[View documentation](https://www.meilisearch.com/docs?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

🖇️ Links of the month
----------------------

🔒 [Master key and API keys](https://www.meilisearch.com/docs/learn/security/master_api_keys?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)  
Learn to secure your Meilisearch instance and manage public API keys.

⚡ [Meilisearch indexes documents 2x faster](https://twitter.com/StriftCodes/status/1747566185791553639)  
Take a look at the performance boosts in Meilisearch 1.6.

🐬 [MySQL Full-Text Search Limits and New Alternatives Solutions](https://data-sleek.com/blog/the-limits-of-mysql-full-text-search-and-the-quest-for-alternative-solutions/)  
Comparing MySQL full-text search features with other search engines.

🎓 [Dropdown Autocomplete Search Anything in Laravel](https://codecourse.com/watch/dropdown-autocomplete-search-anything-in-laravel)  
Learn to build instant dropdown search with Laravel and Meilisearch.

⚛️ [The Two Reacts](https://overreacted.io/the-two-reacts/)  
Dan Abramov writes on components state, server data, and React.

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

**YoungCapital NEXT** introduced their new website with a fresh branding and design. Built with **Next.js** and **Vercel**, their [job portal search](https://next.youngcapital.nl/vacatures) is powered by Meilisearch.

[![YoungCapital NEXT](https://unable-actionable-car.media.strapiapp.com/Screenshot_2024_01_23_at_17_34_37_1_552b1d480f.png)](https://next.youngcapital.nl/vacatures)

_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
----------------

[![Discord](https://unable-actionable-car.media.strapiapp.com/discord_2yf3soo8o238y21k_2d54bc8412.jpg)](/blog/from-slack-to-discord-our-migration/?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

Our team wrote a blog post explaining our reasons for migrating our community to a Discord server, how we went about it, and why we shut down our public Slack.

[Read blog post](/blog/from-slack-to-discord-our-migration/?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

🦸 We're hiring!
----------------

See our open positions:

*   [Head of Developer Marketing](https://www.meilisearch.com/careers?utm_campaign=newsletter&utm_source=january-news-24&utm_medium=blog)

* * *

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.meilisearch.com/). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/?ref=blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions?ref=blog.meilisearch.com).

Until next time.

Meilisearch January Updates

⏳ Meilisearch v1.6 release candidate is now available
-----------------------------------------------------

[![](https://unable-actionable-car.media.strapiapp.com/1_6_RC_74d5e70575.jpg)](https://github.com/meilisearch/meilisearch/releases/tag/v1.6.0-rc.0?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

Get a sneak peek at **Meilisearch v1.6**, launching **mid-January**! This update promises **major indexing performance improvements** and introduces **hybrid search** for more comprehensive results.

⚠️ The current **release candidate** is for **testing only** and not recommended for production use. [**Feedback**](https://github.com/orgs/meilisearch/discussions) and [**bug reports**](https://github.com/meilisearch/meilisearch/issues/new/choose) are welcome to refine the final release.

[Read pre-release notes](https://github.com/meilisearch/meilisearch/releases/tag/v1.6.0-rc.0?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

🦀 Spotify-inspired: Elevating Meilisearch with Hybrid Search and Rust
----------------------------------------------------------------------

[![](https://unable-actionable-car.media.strapiapp.com/spotify_inspired_51f4d0331b.jpeg)](/blog/spotify-inspired-hybrid-search-and-rust?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

How we created [**Arroy**](https://github.com/meilisearch/arroy), a **Rust library** building upon the foundations of **Spotify**'s Annoy.

[Read article](/blog/spotify-inspired-hybrid-search-and-rust?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

🌟 We reached 40,000 GitHub stars!
----------------------------------

[![](https://unable-actionable-car.media.strapiapp.com/40_K_a03904ec32.jpg)](https://github.com/meilisearch/meilisearch/)

A huge **thank you** to our **incredible community** for helping us reach this milestone! Your **contributions**, **feedback**, and **enthusiasm** have been pivotal in our journey. Thank you for being a part of our growing family.

**Let's continue to reach new heights together!**

**📰 In the news**
------------------

### **🔍** [**Using vector search**](https://www.meilisearch.com/docs/learn/experimental/vector_search?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

Everything you need to know to get started with this feature.

### 📈 [Introducing Cloud search analytics](/blog/search-analytics-release/?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

Get immediate actionable insight to optimize your search.

### 👥 [Teams feature is available on Meilisearch Cloud](/blog/introducing-teams/?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

 Host and manage your projects in collaboration with your teammates.

### ✈️ [Migrating to Meilisearch Cloud](https://www.meilisearch.com/docs/learn/update_and_migration/migrating_cloud?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

Migrating from self-hosted? Here’s how to handle the migration.

### 🎓 [Bucket sort guide](/blog/bucket-sort-guide/?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

Understand the algorithm behind Meilisearch relevancy.

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

[**Bookshop.org**](https://bookshop.org/?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog) is an online bookstore based in Brooklyn, New York, with a mission to support local, independent bookstores financially. They have integrated Meilisearch to enhance the search functionality within their extensive catalog.

[![Search results page from Bookshop.org, displaying over 1000 results for "m", and refining as the user keeps typing in the search bar](https://unable-actionable-car.media.strapiapp.com/bookshop_meilisearch_9498082583.gif)](https://bookshop.org/?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

_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
----------------

For us, what you value in work is as important as your technical skills, if not more so. Here’s a recruiter's advice on how to answer interview questions about values.

[![ A spinning top on a wooden surface.](https://unable-actionable-car.media.strapiapp.com/recruiters_advice_0b884ab386.jpeg)](/blog/advice-on-answering-interview-questions-about-values/?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

[Read blog post](/blog/advice-on-answering-interview-questions-about-values/?utm_campaign=newsletter&utm_source=december-news-23&utm_medium=blog)

🦸 We're hiring!
----------------

See our open positions:

*   [Head of Developer Marketing](https://jobs.lever.co/meili/6c9637b0-399a-4300-9f03-1e6f4c450efa)

* * *

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/?ref=blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/?ref=blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions?ref=blog.meilisearch.com).

Until next time.

Meilisearch December Updates

⚡ Meilisearch 1.5
-----------------

[![Meilisearch 1.5 release notes](https://unable-actionable-car.media.strapiapp.com/124_1_50202b66d0.jpg)](/blog/meilisearch-1-5/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

We just shipped Meilisearch 1.5, bringing up to **25% faster indexing**, **on-demand snapshots**, and **Puffin reports** exports. Read the release notes to get the full picture.

[Read release notes](/blog/meilisearch-1-5/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

💼 Meet our customers
---------------------

[![Meilisearch customers page](https://unable-actionable-car.media.strapiapp.com/Screenshot_2023_11_28_at_18_25_33_6d4a7777c7.png)](https://www.meilisearch.com/customers?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

We’ve built a cosy page to host all our customers. All our customer stories —like the [HuggingFace](/blog/hugging-face-democratizes-ai/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog and [Symfony](/blog/symfonys-solution-for-documentation-search/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog success stories— now live there as well.

[View customers](https://www.meilisearch.com/customers?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

📰 In the news
--------------

### 🔍 [A complete guide to full-text search with Laravel](/blog/laravel-full-text-search/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

Everything you need to know to build full-text search with Laravel 10.

### 📈 [Introducing Cloud search analytics](/blog/search-analytics-release/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

Get immediate actionable insight to optimize your search.

### ✈️ [Migrating to Meilisearch Cloud](https://www.meilisearch.com/docs/learn/update_and_migration/migrating_cloud?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

Migrating from self-hosted? Here’s how to handle the migration.

### 🎓 [Navigating search results: pagination vs infinite scroll vs load more](/blog/pagination-vs-infinite-scroll-vs-load-more/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

Learn the pros & cons of the different ways to display search results.

### 🦜🔗 [Building semantic search with LangChain tutorial](/blog/langchain-semantic-search-tutorial/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

Learn how to build semantic search using similarity search.

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

[Minipouce.fr](/blog/minipouce-top-grade-customer-experience/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog) is an online platform that enables future parents to create a baby registry list—a list of items to receive as gifts. They integrated Meilisearch to power **search in their marketplace**.

[![Minipouce.fr marketplace](https://unable-actionable-car.media.strapiapp.com/gif_minipouce_aef574247b.gif)](blog/minipouce-top-grade-customer-experience/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

Minipouce.fr marketplace

_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
----------------

Company culture and benefits are a huge plus. But a decent and fair salary is the number one thing we can do to ensure we take care of our employees. Here’s our **approach to salaries at Meilisearch**.

[![Waving lucky cat](https://unable-actionable-car.media.strapiapp.com/billsbillsbills_9a52817e21.jpeg)](/blog/our-approach-to-salaries/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

[Read blog post](/blog/our-approach-to-salaries/?utm_campaign=newsletter&utm_source=november-news-23&utm_medium=blog)

🦸 We're hiring!
----------------

See our open positions:

*   [Head of Developer Marketing](https://jobs.lever.co/meili/6c9637b0-399a-4300-9f03-1e6f4c450efa)
*   [Senior Account Executive](https://jobs.lever.co/meili/92e2ebdc-3023-4fbe-8dd2-c3cfc9ecd7bf)
*   [People Ops](https://jobs.lever.co/meili/e85fbbd1-0da5-48e1-b65c-35df12f97d76)

* * *

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/?ref=blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/?ref=blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions?ref=blog.meilisearch.com).

Until next time.

Meilisearch November Updates

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

0:00

/0:59

1×

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/?utm_campaign=newsletter&utm_source=october-news-23

[Read release blog](/blog/v1-4-release/?utm_campaign=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://www.meilisearch.com/docs/learn/cookbooks/meilisync_postgresql?utm_campaign=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/?utm_campaign=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://www.meilisearch.com/docs/learn/getting_started/cloud_quick_start?utm_campaign=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/?utm_campaign=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/?utm_campaign=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://www.meilisearch.com/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/?ref=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/?utm_campaign=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/?ref=blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/?ref=blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions?ref=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

/

1×

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://www.meilisearch.com/docs/learn/cookbooks/meilisync_mysql?utm_campaign=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/?utm_campaign=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/?utm_campaign=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/?utm_campaign=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/?utm_campaign=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/?ref=blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/?ref=blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions?ref=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://www.meilisearch.com/docs/learn/what_is_meilisearch/overview?utm_campaign=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://www.meilisearch.com/docs/learn/experimental/vector_search?utm_campaign=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/?utm_campaign=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://www.meilisearch.com/docs/learn/what_is_meilisearch/sdks?utm_campaign=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.com/cloud?utm_campaign=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.com/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/?ref=blog.meilisearch.com). You can learn more about the product by checking out the [roadmap](https://roadmap.meilisearch.com/?ref=blog.meilisearch.com) and participating in [product discussions](https://github.com/meilisearch/product/discussions?ref=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/?utm_source=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/?utm_source=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/?utm_source=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/?utm_source=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/??utm_source=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/?utm_source=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/?utm_campaign=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/?utm_campaign=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.com/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://huggingface.co/), [OpenAI](https://openai.com/)).

First, spin up a Meilisearch instance. You can [install Meilisearch locally](https://www.meilisearch.com/docs/learn/getting_started/installation?utm_campaign=vector-search&utm_source=blog&utm_medium=announcement#local-installation) or create a [Meilisearch Cloud](https://www.meilisearch.com/cloud?utm_campaign=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?utm_campaign=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?utm_campaign=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?utm_campaign=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/?utm_campaign=vector-search&utm_source=blog&utm_medium=textlink) and participate in our [Product Discussions](https://github.com/meilisearch/product/discussions/?utm_campaign=vector-search&utm_source=blog&utm_medium=textlink).

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

I’ll see you there.

Meilisearch latest news and company updates