993408d3ba
Change closure to fn
2024-09-15 16:15:09 +03:00
dcb61f8b3a
Return error for primary keys with a length greater than 512 bytes
2024-09-14 11:34:13 +03:00
51085206cc
Misc adjustments
2024-09-14 10:14:07 +03:00
a2a16bf846
Move MatchPosition impl to Match, adjust counting score for phrases
2024-09-13 21:20:06 +03:00
cab63abc84
Improve MatchesPosition enum with an impl
2024-09-13 14:35:28 +03:00
65e3d61a95
Make use of helper function in one more place
2024-09-13 13:35:58 +03:00
cc6a2aec06
Improve changes to Matcher
2024-09-13 13:31:07 +03:00
f7652186e1
WIP geo fields
2024-09-12 18:01:02 +02:00
23e14138bb
facet distribution: implement Display for OrderBy
2024-09-12 17:43:50 +02:00
e44325683a
Facet distribution: fix issue where truncated facet distribution would have a wrong order
2024-09-12 17:43:49 +02:00
e7af499314
Improve changes to Matcher
2024-09-12 16:58:13 +03:00
b2f4e67c9a
Do not store useless updates
2024-09-12 15:38:31 +02:00
ff5d3b59f5
Move the document id extraction to the primary key code
2024-09-12 12:01:42 +02:00
aa69308e45
Use a bufWriter to build word FSTs
2024-09-12 11:48:00 +02:00
eb9a20ff0b
Fix fid_word_docids extraction
2024-09-12 11:08:18 +02:00
edcb4c60ba
Change Matcher so that phrases are counted as one instead of word by word
2024-09-12 09:46:08 +03:00
0d868f36d7
Make sure we always use a BufWriter to write the update files
2024-09-11 18:38:04 +02:00
e7d9db078f
Use the right key name when convertir from CSV to NDJSON
2024-09-11 18:27:00 +02:00
3e9198ebaa
Support guessing primary key again
2024-09-11 17:25:40 +02:00
2a0ad0982f
Fix the document counter
2024-09-11 15:59:36 +02:00
2b317c681b
Build mergers in parallel
2024-09-11 11:49:26 +02:00
39b5990f64
Mutualize tokenization
2024-09-11 10:22:38 +02:00
3848adf5a2
Improve error management and simplify JSON read
2024-09-11 10:10:51 +02:00
b4de06259e
Better CSV support
2024-09-11 10:02:00 +02:00
02c2b660f8
Merge #4920
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4920: Change OpenAI default model r=dureuill a=dureuill
# Pull Request
## Related issue
Fixes #4856
See also [public usage](https://meilisearch.notion.site/v1-11-AI-search-changes-0e37727193884a70999f254fa953ce6e#b4685a48c4784262a149ec307ec58671 )
## What does this PR do?
- make the `text-embedding-3-small` the default model for OpenAI instead of `text-embedding-ada-002`. Existing embedders are not impacted
Co-authored-by: Louis Dureuil <louis@meilisearch.com >
2024-09-11 07:08:39 +00:00
8287c2644f
Support CSV again
2024-09-10 21:10:28 +01:00
c1c44a0b81
Impl serialize on TopLevelMap
2024-09-10 19:32:03 +01:00
04596f3616
Move the TopLevelMap into a dedicated module
2024-09-10 18:01:17 +01:00
24cb5839ad
Move the document changes sorting logic to a new trait
2024-09-10 17:37:52 +01:00
8d97b7b28c
Support JSON payloads again (not perfectly though)
2024-09-10 17:09:49 +01:00
f69688e8f7
Fix several warnings in extractors and remove unreachable macros
2024-09-09 14:52:50 +02:00
f18e9cb7b3
Change openai default model
2024-09-09 13:09:35 +02:00
8fd0afaaaa
Make sure we iterate over the payload documents in order
2024-09-06 08:09:08 +02:00
72c6a21a30
Use raw JSON to read the payloads
2024-09-05 20:08:23 +02:00
8412be4a7d
Cleanup CowStr and TopLevelMap struct
2024-09-05 18:32:55 +02:00
10f09c531f
add some commented code to read from json with raw values
2024-09-05 18:22:16 +02:00
8fd99b111b
Add tracing timers logs
2024-09-05 18:00:22 +02:00
f6b3d1f9a5
Increase some channel sizes
2024-09-05 15:12:07 +02:00
db0cf3b2ed
Merge #4912
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4912: Allow Meilitool to dumplessly, offline upgrade v1.9 -> v1.10 in some conditions r=Kerollmops a=dureuill
- bail early if the DB contains at least 1 REST embedder, providing the list of detected REST embedders, and without modifying the DB
- Might depend on the feature set that meilitool was compiled with and the featureset that the Meilisearch that created the DB was compiled with 💀 . In case of runtime error, try again with a different feature set (passing or not passing `-p meilitool` when building after a `cargo clean`)
Co-authored-by: Louis Dureuil <louis@meilisearch.com >
2024-09-05 09:11:23 +00:00
73ce67862d
Use the word pair proximity and fid word count docids extractors
...
Co-authored-by: ManyTheFish <many@meilisearch.com >
2024-09-05 10:56:22 +02:00
f6abf01d2c
Check REST embedders before touching the DB
2024-09-05 10:49:59 +02:00
0fc02f7351
Move the facet extraction to dedicated modules
2024-09-05 10:32:27 +02:00
34f11e3380
Implement word count and word pair proximity extractors
2024-09-05 10:30:39 +02:00
28da759f11
meilitool: Support dumpless upgrade from v1.9 to v1.10 when there are no REST embedders
2024-09-05 10:08:38 +02:00
ea96d19525
Change versioning in meili
2024-09-05 10:08:06 +02:00
d352b1ee83
Add serde to meilitool
2024-09-05 10:07:33 +02:00
27308eaab1
Import the facet extractors
2024-09-04 17:58:15 +02:00
b33ec9ba3f
Introduce the FieldIdFacetIsNullDocidsExtractor
2024-09-04 17:50:08 +02:00
9c0a1cd9fd
Introduce the FieldIdFacetExistsDocidsExtractor
2024-09-04 17:48:49 +02:00
0b061f1e70
Introduce the FieldIdFacetIsEmptyDocidsExtractor
2024-09-04 17:40:24 +02:00
