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Radar · Rust · Archive · Week 16 · Apr 14 – 20, 2025

Meilisearch 1.14 release

Worth knowingecosystem

What changed
Meilisearch 1.14 introduces composite embedders, an embedding cache, granular filterable attributes, and batch document retrieval by ID.
Production impact
The source does not say.
Try it
Install Meilisearch 1.14 and experiment with the new batch retrieval API.
Source
this-week-in-rust.org/blog/2025/04/16/this-week-in-rust-595/

Understand it, then run it

Meilisearch 1.14 adds new ways to work with embeddings. You can now use composite embedders, which combine several embedding models. An embedding cache stores results so repeated queries are faster. You can also set granular filterable attributes and fetch many documents by ID in one call.

Written by gpt-oss-20b from the linked source · claims checked against the sources · archive, not individually reviewed