If this were really like AltaVista, I'd get 3 trillion results and have to use advanced Boolean logic to cut that down to the most useful 7,000 - so I guess having no results is sort of easier...
If this were really like AltaVista, I'd get 3 trillion results and have to use advanced Boolean logic to cut that down to the most useful 7,000 - so I guess having no results is sort of easier...
Since the index had only five or six entries a couple of hours ago I set the matching to be wide instead of narrow. I'm also experimenting with loading the model with phrases, phrases and words or words only. I might have f-ed up the query parsing because of that. Remember, this is 0.1, fresh out of the press.
Searching the tree is here: [2]
Tokenization is here: [3]
[1] https://github.com/kreeben/resin/blob/master/src/Sir.Store/R...
[2] https://github.com/kreeben/resin/blob/master/src/Sir.Store/V...
[3] https://github.com/kreeben/resin/blob/master/src/Sir.Store/L...
Thanks for the link.
Stop and ponder that for a moment.
[0] First Blood
[1] Rambo: First Blood Part II
[2] Rambo III
Query:
title:first blood
-title:rambo
Result:
[0] First Blood
(the best one in the bunch)