Carrot2 VS Searchkick

I would spend time at https://search.carrot2.org/ with the PubMed setting and work on search terms around psoriasis which will tease out search hits in which reference is made to specific microbiome species; then look at your data and think about what you just learned. I tell that store in another post on this page. Source: about 1 year ago

My favorite game is to google the titles of some of his references, often to find out they were retracted and should have been noted. I chose his #10 and found a rebuttal to key points [1]. I'd suggest going to a plant-based website, one for which advertising does not sell pills or foods, but, instead, supports the non-profit foundation and put "animal" in the search bar [2] or study this clustered search at... - Source: Hacker News / over 1 year ago

[2] is a clustered search of PubMed on chewing gum. I've been fascinated with historic claims, e.g. That chewing gum stimulates blood flow to the brain, and others like that. ps: the link is best opened in a private window if you care about cookies. [1] https://www.frontiersin.org/articles/10.3389/fnins.2022.964351/abstract [2] https://search.carrot2.org/#/search/pubmed/chewing%20gum/treemap. - Source: Hacker News / over 1 year ago

The websearch using a clustering search engine [1] lands a cluster called "Parkinsons PD" which has 20 PubMed hits, some of which are suggestive of causal links between Paraquat and PD. [1] https://search.carrot2.org/#/search/pubmed/Paraquat/folders. - Source: Hacker News / over 1 year ago

I've had a very similar issue myself, looking for specific camber information with diagrams. A librarian showed me Carrot2 and my search game is on a whole new level. Source: over 1 year ago

I run a large scale production application that does something along these lines. If the data needs to be close to real-time, I'd say use `searchkick` + Elasticsearch, and use `searchkick`'s async feature to "stream" the data from your table to the ES index. Your dashboard will then just query from the ES index via searchkick. Source: over 1 year ago

You're right, that's actually what we implemented, application-level hooks, but they needed development and maintenance effort that come for free with the adapter we're using for OpenSearch integration, which also comes with welcome features: synonyms, partial matches, and many others. Spoiler, the adapter is Searchkick: https://github.com/ankane/searchkick. - Source: Hacker News / over 1 year ago

Normally for Rails applications you would use a gem like searchkick since it greatly reduces the initial Elasticsearch complexity. Source: almost 2 years ago

We lean heavily on Elasticsearch at CompanyCam. One of it's primary use cases is serving our highly filterable project feed. It is incredibly fast, even when you apply multiple filters to your query and are searching a largish data set. Our primary interface for interacting with Elasticsearch is using the Searchkick gem. Searchkick is a powerhouse and provides so many features out of the box. One place where we... - Source: dev.to / almost 2 years ago

Convinced? Ok read on and I’ll show you what switching from Elasticsearch to Meilisearch looked like for a real production app — ScribeHub. We also moved from Ankane’s excellent Searchkick gem to the first party meilisearch-rails gem and I’ll show you the changes there as well. - Source: dev.to / almost 2 years ago