Powering the generative AI era: how Scenario scales asset discovery with Meilisearch
The transition to Meilisearch transformed Scenario’s search into a core product advantage
Maya Shin
Tutorials, product updates, and insights from the Meilisearch team
The transition to Meilisearch transformed Scenario’s search into a core product advantage
Learn how to design and optimize typeahead search to improve speed, relevance, and user experience across modern applications.
Learn what document indexing is, how it works, and why it’s key to fast, accurate information retrieval and efficient document management across industries.
Meilisearch v1.34.1 patches a Server-Side Request Forgery (SSRF) vulnerability affecting self-hosted instances v1.8–v1.34.0. Meilisearch Cloud customers are unaffected; we recommend self-hosted users upgrade immediately.
Learn what text clustering is, how it works, its benefits, use cases, how to perform text clustering in Python, and more.
Your monthly recap of everything Meilisearch. January 2026 edition.
Learn how to build a search engine from the ground up with this practical, step-by-step guide. Discover key stages, tools, best practices, what to avoid, & more.
Learn the key differences between knowledge graphs and vector databases for RAG, when to use each, and how to combine them for optimal results.
Explore how RAG for business boosts AI accuracy and delivers smarter, context-driven insights.
Typesense pricing starts at ~$7/month but requires resource calculations. Compare with Meilisearch's simple $30/month tiers for predictable costs.
Typesense review: powerful search engine with flexible configuration, but Meilisearch offers simpler setup. Compare features & pricing.
Learn what hybrid search RAG is, how it blends semantic and keyword search for more accurate retrieval, and how it works, challenges, implementation & more.