AndorSearch (@andorsearch) 's Twitter Profile
AndorSearch

@andorsearch

Beyond the search box. New project from @elasticmark

ID: 1486266188153950210

calendar_today26-01-2022 09:15:50

29 Tweet

72 Takipçi

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AndorSearch (@andorsearch) 's Twitter Profile Photo

Text-based queries fail silently. An example from today where the user was lucky enough to notice some unexpected results but couldn't understand why they were returned. Situations like this makes it feel like we're building on sand... discuss.elastic.co/t/why-query-ds…

AndorSearch (@andorsearch) 's Twitter Profile Photo

Hmmm. I assumed most queries that work in elasticsearch could be converted to mongodb. That may have been optimistic mongodb.com/docs/manual/re…

AndorSearch (@andorsearch) 's Twitter Profile Photo

Recruiters are heavy users of Boolean search syntax. Here's a demo with LinkedIn data that shows how graphical interfaces can help youtu.be/56WSW_sORxo

AndorSearch (@andorsearch) 's Twitter Profile Photo

Introducing qry.codes - draggable, merge-able search topics that can be combined with AndOr’s graphical Boolean search. Based on binary vectors.

Mark Harwood (@elasticmark) 's Twitter Profile Photo

Looking forward to talking about “fuzzy facets” using binary vector clustering at this week’s elasticon London. elastic.co/events/elastic…

AndorSearch (@andorsearch) 's Twitter Profile Photo

AndOr’s graphical query language now targets multiple databases: * Elastic/open search * Vespa * Redis * JavaScript db Making progress on the query compatibility matrix:

Mark Harwood (@elasticmark) 's Twitter Profile Photo

Presenting at #GenAISummit tomorrow - using AndorSearch to refine and cluster text, vector & geo queries, graphically. AndOr is built to support choice of back ends and this demo will use vespa.ai

Mark Harwood (@elasticmark) 's Twitter Profile Photo

Honoured to join the lineup of search experts interviewed in this series. We talk myths, “OR is mORe,” and how vectors should be treated like plasticine, not porcelain. Thanks Itamar and Zevi! pulse.support/top-voices/mar…

AndorSearch (@andorsearch) 's Twitter Profile Photo

Spotting significant terms was something I added to elasticsearch. Can we do it more cheaply in the browser with similar quality? It looks like the answer is "yes" youtu.be/Te_N8qveCKY