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meilisearch

v1.45.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 8d Search Engines
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai api app-search database enterprise-search faceting
+13 more
full-text-search fuzzy-search geosearch hybrid-search instantsearch search search-as-you-type search-engine semantic-search site-search typo-tolerance vector-db vectors

Summary

AI summary

Updates ✨ Enhancement, 🪲 Bug Fixes, and 🔩 Miscellaneous across a mixed release.

Changes in this release

Performance Medium

Improves indexing performance when changing settings

Improves indexing performance when changing settings

Source: llm_adapter@2026-05-26

Confidence: high

Performance Medium

Improves document fetch performance

Improves document fetch performance

Source: llm_adapter@2026-05-26

Confidence: high

Bugfix High

Fixes internal error when changing binary quantization in embedder configurations

Fixes internal error when changing binary quantization in embedder configurations

Source: llm_adapter@2026-05-26

Confidence: high

Bugfix Medium

Prevents fetching documents from blocking the Actix worker thread

Prevents fetching documents from blocking the Actix worker thread

Source: llm_adapter@2026-05-26

Confidence: high

Full changelog

Meilisearch v1.45.0 mainly improves indexing performance when changing settings and also improves document fetch performance.

✨ Enhancement

  • Autobatch deletions by filter with additions by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6389
    While Meilisearch tries to improve indexing speed when users add documents and mix those additions with deletions via a filter, it is still an anti-pattern to interleave both. It is recommended to delete documents by ID whenever possible, as the engine is optimized to merge them, thereby drastically speeding up indexation.
  • Improve settings indexing performance & visibility
    We are introducing support for more settings in the nez settings indexer. If you find any bugs, please report them on GitHub. You can disable the new settings indexer by setting the environment variable like this: MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS=true or use the equivalent dedicated CLI parameter.
    • Support non-extracting parameters by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6393
      Changing one of the following settings is now directly handled by the new settings indexer: displayed fields, synonyms, the primary key, authorize typos, min word len one and two typos, max values per facet, sort facet values by, pagination max total hits, search cut off, chat, and foreign keys.
    • Support the global facet search by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6390
      Meilisearch can use the new settings indexer when the settings change the facet search root boolean parameter.

🪲 Bug Fixes

  • Fetching documents no longer blocks the actix worker @dureuill in https://github.com/meilisearch/meilisearch/pull/6402
  • Fix an internal error when changing the binary quantization by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6396
    We fixed an issue where users were changing the binary-quantized boolean in embedder configurations. The change corrupted the database, making it impossible to change the quantization in the future. Users had to create a binary-quantized embedder from scratch, or they could never change it again.

🔩 Miscellaneous

  • Make timeout test less flaky on Windows by @dureuill in https://github.com/meilisearch/meilisearch/pull/6388

Full Changelog: https://github.com/meilisearch/meilisearch/compare/v1.44.0...v1.45.0

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About meilisearch

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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Beta — feedback welcome: [email protected]