Changes related to Meilisearch v1.9.0

curquiza commented 1 month ago

This issue gathers the changes related to the v1.9.0 of Meilisearch that will impact the integrations scope.

📅 Release date: 1st July

Timelines & steps

Pre-release

[x] With the help of the Product team and this CI, define which integrations should be updated and how (New feature? Update README? Update tests?) -> Fill in the "What to implement?" section below in this issue 👇. Minial implementation: PHP, JS, Instant-meilisearch.
[x] Create a branch by running Octopus script: only open branches for the integrations we choose to update (defined in the previous step) + Kubernetes repository + Cloud provider repository (changing the version)
[x] Update integrations according to the decisions (cf "What to implement?" section below in this issue 👇)
- [x] JS
- [x] PHP
- [x] Instant-meilisearch (update meilisearch-js version)
- [x] Java: adapt tests following relevancy changes
- [x] Go: update tests for vector search + add retrieveAttributes
- [x] Ruby: update tests for vector search
[x] Add code samples for the chosen up-to-date integrations with the new version of Meilisearch
[ ] Update the library version of the related integrations and prepare the changelogs

Release day

[x] Release the integrations
- [x] PHP
- [x] JS
- [x] Go
- [x] instant-meilisearch
[x] Merge
- [x] Java branch
- [x] Ruby branch
[x] Merge the related PR in K8s repository
[x] Publish DevOps tools:
- [x] create the git tag
- [x] publish images (steps are in CONTRIBUTING.md)
[x] Open issues in the repositories that are not up-to-date with the latest version of Meilisearch (including code samples)
- [x] Hybird search
- [x] Filter by score
- [x] frequency matching stregy
- [x] Get similar documents
- [x] distinctAttribute at search

What to implement?

AI improvements

Related issue in the engine:

Usage: https://meilisearch.notion.site/v1-9-AI-search-changes-e90d6803eca8417aa70a1ac5d0225697?pvs=74

Changes:

Breaking: _vectors no longer returned in documents (by default). Use retrieveVectors during the search to see it.
Extension to the _vectors field in documents: in the _vectors field, text can be an object and accept embeddings and regenerate fields
- embeddings is an array of embeddings, as text can be
- regenerate is a boolean

TODO:

[x] JS: https://github.com/meilisearch/meilisearch-js/issues/1675
[x] PHP: https://github.com/meilisearch/meilisearch-php/issues/647
[x] Go: fix tests + add retrieveVectors
[x] Ruby: fix tests

Vector search feature fully available in: PHP, JS, Python, Go Vector search feature partially available: Dart, Ruby Feature not implemented at all: Dotnet, Rust, Swift, Java.