Before you build search with Elasticsearch, decide this first
Building an effective search with Elasticsearch requires careful planning before implementation. Key considerations include understanding user intent and defining what constitutes good search results. The quality of search results is heavily influenced by decisions made during the design phase, particularly regarding data and analyzers.
- ▪The real work of search begins after the initial setup of Elasticsearch.
- ▪Understanding user intent is crucial, as different users may search differently.
- ▪Defining what 'good results' means is essential for effective search tuning.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3966777) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Search Developer Posted on Jun 3 Before you build search with Elasticsearch, decide this first #architecture #backend #database #systemdesign Installing Elasticsearch, loading your data, dropping a search box on the page — honestly, getting the engine running doesn't take that long. There are plenty of docs for it. The real work starts right after. You run a search and the wrong thing shows up at the top. A product that's definitely in your data doesn't show up at all.
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