All articles by Maya Shin
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.
Proximity search: Improve relevance & deliver smarter results
Learn what proximity search is, how it works across major platforms, and how to use it to improve relevance, ranking, and user search experiences.
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
Designing effective typeahead search for faster, smarter UX
Learn how to design and optimize typeahead search to improve speed, relevance, and user experience across modern applications.
How document indexing works, methods, implementation, & more
Learn what document indexing is, how it works, and why it’s key to fast, accurate information retrieval and efficient document management across industries.
What is text clustering? A complete guide
Learn what text clustering is, how it works, its benefits, use cases, how to perform text clustering in Python, and more.
Meilisearch January updates
Your monthly recap of everything Meilisearch. January 2026 edition.
How to build a search engine: A complete guide for developers
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.
Knowledge graph vs. vector database for RAG: which is best?
Learn the key differences between knowledge graphs and vector databases for RAG, when to use each, and how to combine them for optimal results.