I'm constructing long search queries joined with O...
# community-help
h
I'm constructing long search queries joined with OR... There's a big chance that some of these terms are redundant because the search engine automatically searches for variations. Is there a way to know which search terms are redundant ? For example, for the search query "database" OR "list" OR "Collection" OR "Repository" OR " library", is there a way to shorten this query by removing the redundant items? Or at least identifying the redundant ones and then I can remove them manually?
j
the search engine automatically searches for variations
In the example you shared:
"database" OR "list" OR "Collection" OR "Repository" OR " library"
, all these are conceptually similar and will only retrieve results for each other when you use semantic search, along with a model who's training dataset has all those words. Otherwise, it's not an automatic thing
is there a way to shorten this query by removing the redundant items?
There's no way to do this, but could you elaborate on your use-case for needing something like this?
h
So I want this to function as a replacement for the regular google search engine.
because my search queries are long and i use a lot of variations, i thought of a way to streamline the process.