> ## Documentation Index
> Fetch the complete documentation index at: https://www.meilisearch.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Meilisearch v1.56 release notes

> Released October 26, 2026

## New Features

### Approximate facet distribution with `sampledCount` sort

Facet distribution now supports a new `sampledCount` sort option. It gives a faster, approximate estimate of the facet distribution than the `count` sort. The document count for each facet is exhaustive, but the list of facets is not: some facets that the `count` sort would list may be skipped.

Use `sampledCount` when you need fast facet results and can accept an incomplete facet list.

## Improvements

### Adaptive rate limiting for embedders

Meilisearch now uses an adaptive strategy to handle embedder load and outages:

* For small workloads with few documents, Meilisearch accepts slower embedder services
* For large updates with thousands of documents, Meilisearch gives up early to avoid long delays
* If the embedder server is unavailable for too long, Meilisearch abandons indexing early
* Meilisearch respects the `Retry-After` header (in seconds) to avoid unnecessary retries during brief service interruptions

### General search performance optimization

Overall search performance has been optimized for better responsiveness and efficiency.

## Bug Fixes

### Corrected binary quantization state after embedder deletion

Fixed a bug that left binary quantization in an incorrect state after deleting an embedder.

[Find more information on GitHub](https://github.com/meilisearch/meilisearch/releases/tag/v1.56.0)


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