Proximity search: Improve relevance & deliver smarter results

What this post added

This post introduces and explains the concept of proximity search, detailing its definition, how it works based on distance and word order, and its importance for improving search relevance and user satisfaction. It contrasts proximity search with phrase search, outlines common use cases (academic research, legal search, AI, recruitment, enterprise), and provides examples of its implementation in Google (AROUND operator), PubMed (ADJ operator), and Boolean searches. The post also includes a step-by-step guide on implementing a proximity search algorithm, covering document parsing, building a positional inverted index, and matching queries based on defined distances, while also highlighting how Meilisearch simplifies this process.