---
title: "How Scenario scales asset discovery with Meilisearch"
url: https://daily.dev/posts/how-scenario-scales-asset-discovery-with-meilisearch-2ummymaef
source_url: https://www.meilisearch.com/blog/scenario
type: article
source: "Meilisearch"
published: 2026-02-18T13:02:43.422Z
updated: 2026-02-18T13:44:55.854Z
tags: ["genai", "vector-search", "meilisearch"]
reading_time: 5
upvotes: 1
comments: 0
language: en
---

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# How Scenario scales asset discovery with Meilisearch

**[Meilisearch](https://daily.dev/sources/meilisearch)** · 5 min read · 1 upvotes · 0 comments

## Summary

Scenario, an enterprise AI platform for generative creative assets, migrated from OpenSearch on AWS to Meilisearch to handle tens of millions of indexed assets and 35 million monthly searches per month. The switch was driven by the need for hybrid search combining keyword, vector, and multi-modal (image) queries using Scenario's own custom embeddings. After evaluating Pinecone and Qdrant, Meilisearch was chosen based on a Hugging Face founders' recommendation. Results include near-zero search-related support tickets, 80% of searches being complex vector queries, and an 'Exploration' feature powered by visual similarity search that became a key engagement driver. The next phase involves AI agents that autonomously surface relevant assets and recommend the best-fit generative model for a given task.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.meilisearch.com/blog/scenario>

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---

Tags: [#genai](https://daily.dev/tags/genai), [#vector-search](https://daily.dev/tags/vector-search), [#meilisearch](https://daily.dev/tags/meilisearch)

[View this post on daily.dev](https://daily.dev/posts/how-scenario-scales-asset-discovery-with-meilisearch-2ummymaef)