What are specialty search engines and why do they matter?
Learn what specialty search engines are, how they work, and why they offer more relevant, focused results for specific industries, tasks, and user needs.
Maya Shin
Tutorials, product updates, and insights from the Meilisearch team
Learn what specialty search engines are, how they work, and why they offer more relevant, focused results for specific industries, tasks, and user needs.
Learn what proximity search is, how it works across major platforms, and how to use it to improve relevance, ranking, and user search experiences.
Intent understanding is where most conversational search implementations quietly fail. Here's why the translation layer between natural language and structured queries is where the real differentiation lives.
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.