Meilisearch v1.38.0stable Released Mar 09, 2026
Impact Score: 5/10

Meilisearch: v1.38.0 🐍

Source available β€” automated, not human-reviewed

Component: meilisearch Β· Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified β€” check source notes
πŸ“„ .MD
⚑ Executive Summary (TL;DR)

Meilisearch v1.38.0. Source highlight: Meilisearch v1.38 drastically improves indexing performance for embeddings, cleans up the task queue of orphan tasks and batches, ensures they are correctly deleted now, fixes issues users may encounter with OpenAI or VoyageAI when generating embeddings, and improves the tooling for generating route

Who Does This Impact? (Role-Based Analysis)

πŸ’» Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

πŸ“Š Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

βš™οΈ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

✨ New Features & Capabilities (1)

  • Add guide to CONTRIBUTING.md to test doc locally

⚑ Performance & Enhancements (2)

  • Embeddings: Use the latest version of hannoy with improved performances
  • Docs: improve documentation of the parameters of the search route

πŸ”§ Bug Fixes & Patches (3)

  • Tasks: Optimize and fix task deletion by @Mubelotix and @kerollmops in https://github.com/meilisearch/meilisearch/pull/5828
  • Embedders: Fix the intermittent `connection reset by peer` errors when embedding documents or search queries using a remote embedder. By @dureuill in https://github.com/meilisearch/meilisearch/pull/6191
  • Chore: remove verbose debug log on list documents
πŸ“„ View Raw Release Notes (Original Developer Log)
Meilisearch v1.38 drastically improves indexing performance for embeddings, cleans up the task queue of orphan tasks and batches, ensures they are correctly deleted now, fixes issues users may encounter with OpenAI or VoyageAI when generating embeddings, and improves the tooling for generating routes in the documentation. ### **✨ Enhancement** - Embeddings: Use the latest version of hannoy with improved performances by @Kerollmops in https://github.com/meilisearch/meilisearch/pull/6184 We drastically reduced embedding indexing time by eliminating full database scans. It is more efficient to add a couple of embeddings to a large database now. - Tasks: Optimize and fix task deletion by @Mubelotix and @kerollmops in https://github.com/meilisearch/meilisearch/pull/5828 ### πŸͺ²Β Bug fixes - Embedders: Fix the intermittent `connection reset by peer` errors when embedding documents or search queries using a remote embedder. By @dureuill in https://github.com/meilisearch/meilisearch/pull/6191 ### πŸ”© Miscellaneous - Enforce that routes appear in the reference documentation by @dureuill and @manythefish in https://github.com/meilisearch/meilisearch/pull/6200 [The reference API](https://www.meilisearch.com/docs/reference/api/)Β is now generated from the source code, but it used to miss some actix-declared routes. It is now mandatory to attach a route when using the newly-provided `routes::routes` and `routes::path` macros, which ensures the route is added to the reference. Please refer to the documentation of the individual macros and the many examples throughout the codebase for more details. - Chore: remove verbose debug log on list documents by @StephaneRob in https://github.com/meilisearch/meilisearch/pull/6198 - Add guide to [CONTRIBUTING.md](http://contributing.md/) to test doc locally by @curquiza in https://github.com/meilisearch/meilisearch/pull/6180 - Docs: capitalize LangChain and MCP in README by @24f1000637 in https://github.com/meilisearch/meilisearch/pull/6183 - Docs: improve documentation of the parameters of the search route by @curquiza in https://github.com/meilisearch/meilisearch/pull/6194 ### New Contributors - @StephaneRob made their first contribution in https://github.com/meilisearch/meilisearch/pull/6198 - @24f1000637 made their first contribution in https://github.com/meilisearch/meilisearch/pull/6183