> ## Documentation Index
> Fetch the complete documentation index at: https://www.meilisearch.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Meilisearch v1.36 release notes

> Released February 23, 2026

## New Features

### New Ranking Rules: `attributeRank` and `wordPosition`

Meilisearch now includes two new ranking rules that improve search relevance:

* `attributeRank`: Documents rank higher when query words match in higher-priority searchable attributes, regardless of word position within those attributes.
* `wordPosition`: Documents rank higher when query words appear closer to the beginning of an attribute.

These rules were previously used internally as part of the `attribute` ranking rule. Now you can use them independently for more fine-grained control over search relevance. This is the first significant update to ranking rules since v1.0.

### Automatic Vector Store Migration

When upgrading to v1.36.0, Meilisearch automatically migrates indexes from the old Annoy vector store to the new Hannoy vector store. This migration happens without requiring a data dump and restore, though it may take a couple of minutes for indexes with large numbers of embeddings.

To have more control over the migration timing, you can manually change the vector store backend beforehand by enabling the `vectorStoreSetting` experimental feature and setting the `vectorStore` root setting to `experimental`.

Note: This vector store change affects ranking scores for vector search results.

## Other

### Breaking Change: OpenAPI Documentation File Relocation

The `meilisearch-openapi-mintlify.json` file is no longer included in release assets. If you were using this file, you can now find it in the [public documentation repository](https://github.com/meilisearch/documentation/blob/main/assets/release-assets/meilisearch-openapi-mintlify.json).

[Find more information on GitHub](https://github.com/meilisearch/meilisearch/releases/tag/v1.36.0)


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