Hey there, here's your monthly recap of everything Meilisearch. Let's dive in!
🚀 Releasing Meilisearch v1.3
We released v1.3 which introduces vector search, ranking score details, search for facet values, and dynamic searchable fields.
🔢 Vector search is coming to Meilisearch
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.
🤝 Qogita customer story
With Meilisearch Cloud, Qogita can ensure high seller exposure and increased relevancy, resulting in an excellent buyer-seller interaction.
📰 In the news
🦜🔗 Meilisearch LangChain integration guide
Learn how to integrate the Meilisearch vector store in LangChain.
Read about our engineers journey to add relevancy scores to search results.
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
Read this community article how to use Meilisearch with Pydantic.
🍿 Meilisearch, the open-source search engine with a UX focus
Watch this talk explaining how to use Meilisearch (in French, subtitles available.)
🤗 Made with Meilisearch
Our featured project of the month is 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.
We’re always looking to promote new projects from the community. Post yours in the #built-with-meilisearch 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.
🦸♀️ We’re hiring!
See our open positions:
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For more things Meilisearch, join our developers community on Discord. You can learn more about the product by checking out the roadmap and participating in product discussions.
Until next time.