---
title: "Spotify-Inspired: Elevating Meilisearch with Hybrid Search and Rust"
url: https://daily.dev/posts/spotify-inspired-elevating-meilisearch-with-hybrid-search-and-rust-nlmbkzgck
source_url: https://blog.kerollmops.com/spotify-inspired-elevating-meilisearch-with-hybrid-search-and-rust
type: article
source: "Lobsters"
published: 2023-12-08T16:33:19.020Z
updated: 2025-09-06T02:42:29.487Z
tags: ["data-science", "meilisearch", "rust", "spotify"]
reading_time: 6
upvotes: 1
comments: 0
language: en
---

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# Spotify-Inspired: Elevating Meilisearch with Hybrid Search and Rust

**[Lobsters](https://daily.dev/sources/lobsters)** · 6 min read · 1 upvotes · 0 comments

## Summary

The article discusses the development of hybrid search in Meilisearch, combining keyword and semantic search algorithms. It explores the optimization of storage and search for high-dimensional embeddings by storing them on disk. The use of Spotify's Hyperplane Trees algorithm and the challenges of porting it to Rust are also highlighted. The article further mentions the use of LMDB for key-value storage and upcoming challenges with multithreading and incremental indexing.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.kerollmops.com/spotify-inspired-elevating-meilisearch-with-hybrid-search-and-rust>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#meilisearch](https://daily.dev/tags/meilisearch), [#rust](https://daily.dev/tags/rust), [#spotify](https://daily.dev/tags/spotify)

[View this post on daily.dev](https://daily.dev/posts/spotify-inspired-elevating-meilisearch-with-hybrid-search-and-rust-nlmbkzgck)