How Scenario scales asset discovery with Meilisearch

This post details how Scenario scaled their asset discovery with Meilisearch, moving from OpenSearch on AWS. It highlights the challenges of performance at scale, cost/operational overhead, and growing user expectations. Scenario chose Meilisearch for its developer-first experience, enterprise readiness, and hybrid search capabilities, enabling them to combine proprietary embeddings with keyword and multi-modal search. The implementation includes continuous indexing, custom embeddings, and vector search integration for an "Exploration" feature, resulting in dramatic reduction in support load, exceptional scale handling (35M+ searches/month, 80% vector), and productivity gains for their engineering team.