v0.42.0 🌻

This version introduces features released on Meilisearch v1.10.0 🎉
Check out the changelog of Meilisearch v1.10.0 for more information on the changes.

⚠️ Breaking changes

• Improve errors (#1656) @/flevi29
  More details here
• Changes related to Hybrid search (experimental) for the REST embedder (#1692) @mdubus
  • Removed parameters: query, inputField, inputType, pathToEmbeddings and embeddingObject.
  • Replaced by request and response
  • New parameter: headers

🚀 Enhancements

• Hybrid search improvements (#1692) @mdubus

  • Add url parameter to the OpenAI embedder
  • dimensions is now available as an optional parameter for ollama embedders.

• Add federated search parameters (#1689) @flevi29

client.multiSearch({
    federation: {},
    queries: [
      {
        indexUid: 'movies',
        q: 'batman',
        limit: 5,
      },
      {
        indexUid: 'comics',
        q: 'batman',
        limit: 5,
      },
    ]
  })

• Add capabilities to update documents by function (#1691) @flevi29

index.updateDocumentsByFunction({
    context: { ctx: 'Harry' },
    filter: 'id = 4',
    function: 'doc.comment = `Yer a wizard, ${context.ctx}!`',
  })
)

• Add language settings (#1693) @/flevi29

client.index('INDEX_NAME').updateLocalizedAttributes([
    { attributePatterns: ['jpn'], locales: ['*_ja'] },
];)

• Add locale search parameter (#1693) @flevi29

client.index('INDEX_NAME').search('進撃の巨人', { locales: ['jpn'] })

⚙️ Maintenance/misc

• Add JS hosted documentation (#1678) @amit-ksh

Thanks again to @amit-ksh, @brunoocasali, @curquiza, @flevi29, @mdubus, @meili-bors[bot] ! 🎉