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.
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 thevectorStoreSetting 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
Themeilisearch-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.
Find more information on GitHub