Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Hi All, We’Re Interested In Using Trains For A New Ml Project. This Project Is An Early Proof Of Concept So We’D Like To Start With The Open Source Version. One Question We’Re Finding Difficult To Answer Is: What Tools Do People Successfully Combine With


Thanks AgitatedDove14 !
That’s really helpful, and the support for structured data sounds like it’d be great for us.
Seldon looks really good, but is too pricy at the moment for this project, so I think we probably need to setup a server and have a play around at integrating some of the open source model serving options and see how they work in practice.
But it would still be really useful to hear what has worked for anyone else in a similar situation?

  
  
Posted 3 years ago
72 Views
0 Answers
3 years ago
one year ago