many
4ddf008be2
add field id word count database
2021-05-31 16:27:28 +02:00
Clément Renault
3a4a150ef0
Fix the tests and remaining warnings
2021-05-25 11:31:06 +02:00
Clément Renault
bd7b285bae
Split the update side to use the number and the strings facet databases
2021-05-25 11:30:00 +02:00
Clément Renault
837c1041c7
Clear and delete the documents from the facet database
2021-05-25 11:28:36 +02:00
Kerollmops
e65bad16cc
Compute the words prefixes at the end of an update
2021-04-27 14:39:52 +02:00
Kerollmops
f713828406
Implement the clear and delete documents for the word-level-positions database
2021-04-27 14:25:34 +02:00
Kerollmops
b0a417f342
Introduce the word_level_position_docids Index database
2021-04-27 14:25:34 +02:00
Alexey Shekhirin
2658c5c545
feat(index): update fields distribution in clear & delete operations
...
fixes after review
bump the version of the tokenizer
implement a first version of the stop_words
The front must provide a BTreeSet containing the stop words
The stop_words are set at None if an empty Set is provided
add the stop-words in the http-ui interface
Use maplit in the test
and remove all the useless drop(rtxn) at the end of all tests
Integrate the stop_words in the querytree
remove the stop_words from the querytree except if it was a prefix or a typo
more fixes after review
2021-04-01 19:12:35 +03:00
mpostma
615fe095e1
update index updated at on index writes
2021-03-15 14:05:47 +01:00
Kerollmops
f51eb46c69
Use the RoaringBitmapLenCodec to retrieve the count of documents
2021-03-09 10:25:39 +01:00
Kerollmops
9b03b0a1b2
Introduce the word prefix pair proximity docids database
2021-02-17 11:12:38 +01:00
Clément Renault
ee5a60e1c5
Clear the words prefixes when clearing an index
2021-02-17 10:45:17 +01:00
Clément Renault
b3a21d5a50
Introduce the getters and setters for the words prefixes FST
2021-02-17 10:45:17 +01:00
Clément Renault
e8639517da
Change the project to become a workspace with milli as a default-member
2021-02-12 16:15:09 +01:00
