Commit Graph

123 Commits

Author SHA1 Message Date
Tamo
a108d8f6f3 update yaup 2024-06-26 16:03:51 +02:00
meili-bors[bot]
d6bd88ce4f
Merge #4667
4667: Frequency matching strategy r=Kerollmops a=ManyTheFish

# Pull Request

## Related issue
Fixes #3773

## What does this PR do?
- add test for matching strategy
- implement frequency matching strategy

See the [PRD for more details](https://www.notion.so/meilisearch/Frequency-Matching-Strategy-0f3ba08833a442a39590a53a1505ab00).

[Public API](https://www.notion.so/meilisearch/frequency-matching-strategy-89868fb7fc584026bc56e378eb854a7f).


Co-authored-by: ManyTheFish <many@meilisearch.com>
2024-05-30 14:53:31 +00:00
ManyTheFish
3f1a510069 Add tests and fix matching strategy 2024-05-30 12:02:42 +02:00
Many the fish
e1fbfde6c4
Merge branch 'main' into merge-release-v1.8.1-in-main 2024-05-29 11:31:03 +02:00
Clément Renault
487431a035
Fix tests 2024-05-27 16:12:20 +02:00
meili-bors[bot]
19acc65ad2
Merge #4646
4646: Reduce `Transform`'s disk usage r=Kerollmops a=Kerollmops

This PR implements what is described in #4485. It reduces the number of disk writes and disk usage.

Co-authored-by: Clément Renault <clement@meilisearch.com>
2024-05-23 16:06:50 +00:00
Clément Renault
fe17c0f52e
Construct the minimal OBKVs according to the settings diff 2024-05-23 11:23:57 +02:00
ManyTheFish
3e94a90722 Fixes 2024-05-21 13:39:46 +02:00
Louis Dureuil
afcd7b9f0c
Test hybrid search with hf embedder 2024-05-20 14:44:10 +02:00
Tamo
0f78703b85 add a test reproducing the bug 2024-05-20 10:58:08 +02:00
Louis Dureuil
d05d49ffd8
Fix tests 2024-05-20 10:36:18 +02:00
Tamo
f2d0a59f1d when no searchable attributes are defined, makes all the weight equals to zero 2024-05-16 01:06:33 +02:00
Louis Dureuil
ca499a0302
Fix test after rebase 2024-04-04 16:04:07 +02:00
Louis Dureuil
355e5282b2
Remove _semanticScore 2024-04-04 16:04:07 +02:00
Louis Dureuil
7c27417a5d
Add tests 2024-04-04 16:04:07 +02:00
Louis Dureuil
1ff2a2d6fb
Add semanticHitCount 2024-04-04 16:04:06 +02:00
meili-bors[bot]
5509bafff8
Merge #4535
4535: Support Negative Keywords r=ManyTheFish a=Kerollmops

This PR fixes #4422 by supporting `-` before any word in the query.

The minus symbol `-`, from the ASCII table, is not the only character that can be considered the negative operator. You can see the two other matching characters under the `Based on "-" (U+002D)` section on [this unicode reference website](https://www.compart.com/en/unicode/U+002D).

It's important to notice the strange behavior when a query includes and excludes the same word; only the derivative ( synonyms and split) will be kept:
 - If you input `progamer -progamer`, the engine will still search for `pro gamer`.
 - If you have the synonym `like = love` and you input `like -like`, it will still search for `love`.

## TODO
 - [x] Add analytics
 - [x] Add support to the `-` operator
 - [x] Make sure to support spaces around `-` well
 - [x] Support phrase negation
 - [x] Add tests


Co-authored-by: Clément Renault <clement@meilisearch.com>
2024-04-04 13:10:27 +00:00
Clément Renault
90e812fc0b
Add some tests 2024-04-04 15:08:37 +02:00
meili-bors[bot]
56bf8503db
Merge #4537
4537: Expose distribution shift in settings r=ManyTheFish a=dureuill

See [usage page](https://meilisearch.notion.site/v1-8-AI-search-API-usage-135552d6e85a4a52bc7109be82aeca42#d652adc0890445658aaf36352dbc8802)

# Changes

- Distribution shift added to all embedders.
- Exposed in settings
- Changed the reindexing logic to not trigger a reindex operation when only the distribution shift or API key change

Co-authored-by: Louis Dureuil <louis@meilisearch.com>
2024-04-03 09:08:58 +00:00
Louis Dureuil
cde7ce4f44
Add test 2024-03-27 14:02:09 +01:00
Tamo
3a1f458139 fix a flaky test 2024-03-26 21:06:55 +01:00
Tamo
2e36f069c2 fmt imports 2024-03-26 19:23:55 +01:00
Tamo
8127c9a115 handle the case of a queue of zero elements 2024-03-26 19:04:39 +01:00
Tamo
e7704f1fc1 add a test to ensure we effectively returns a retry-after when the search queue is full 2024-03-26 18:08:59 +01:00
Tamo
e433fd53e6 rename the method to get a permit and use it in all search requests 2024-03-26 17:28:03 +01:00
Tamo
c41e1274dc push and test the search queue datastructure 2024-03-26 15:56:43 +01:00
Tamo
d8fe4fe49d return the order in the score details 2024-03-19 15:45:04 +01:00
Tamo
6a0c399c2f rename the search_cutoff parameter to search_cutoff_ms 2024-03-19 10:35:47 +01:00
Tamo
038c26c118 stop returning the degraded boolean when a search was cutoff 2024-03-19 10:35:47 +01:00
Tamo
ad9192fbbf reduce the size of an integration test 2024-03-19 10:35:47 +01:00
Tamo
b8cda6c300 fix the search cutoff and add a test 2024-03-19 10:35:47 +01:00
Clément Renault
6c9823d7bb
Add tests to sortFacetValuesBy count 2024-03-13 11:59:39 +01:00
Tamo
e23ec4886d
fix the tests and add tests on the experimental features 2024-02-08 15:04:03 +01:00
Louis Dureuil
05edd85d75
Stabilize scoreDetails 2024-02-06 11:15:19 +01:00
Louis Dureuil
6d111139b5
Add test 2024-02-01 10:33:27 +01:00
Clément Renault
3f3462ab62
Limit the number of values returned by the facet search 2024-01-10 16:54:08 +01:00
Louis Dureuil
94b9f3b310
Add test 2024-01-03 15:56:20 +01:00
Louis Dureuil
6ff81de401
Fix tests 2023-12-20 17:16:46 +01:00
ManyTheFish
3a99a555a2 Fix experimental features snapshots in tests 2023-12-18 10:05:51 +01:00
Louis Dureuil
87bba98bd8
Various changes
- fixed seed for arroy
- check vector dimensions as soon as it is provided to search
- don't embed whitespace
2023-12-14 16:08:42 +01:00
Louis Dureuil
217105b7da
hybrid search uses semantic ratio, error handling 2023-12-14 16:08:42 +01:00
ManyTheFish
f3f3944469
Fix error checking 2023-12-14 16:08:42 +01:00
ManyTheFish
ac68f33194
Add simple test 2023-12-14 16:08:42 +01:00
Louis Dureuil
806e5b6899
Tests pass 2023-12-14 16:08:41 +01:00
Louis Dureuil
12940d79a9
WIP
- manual embedder
- multi embedders OK
- clippy + tests OK
2023-12-14 16:08:41 +01:00
Clément Renault
56571f762a
Merge remote-tracking branch 'origin/main' into tmp-release-v1.5.1 2023-12-13 11:57:01 +01:00
ManyTheFish
dc07790133 Add test reproducing #4232 2023-11-27 11:39:11 +01:00
Clément Renault
0dbf1a16ff
Make clippy happy 2023-11-23 14:11:38 +01:00
Vivek Kumar
32c78ac8b1
add/update tests when search with distinct attribute & pagination with no ranking 2023-10-23 12:06:27 +02:00
meili-bors[bot]
5e0485d8dd
Merge #4131
4131: Reduce proximity range from 7 to 3 r=Kerollmops a=ManyTheFish

## Summary
This PR aims to reduce the impact of the proximity databases on the indexing time and on the database size by reducing the maximum distance between two words to be indexed in the proximity database.

## Stats

### Impact on database size and indexing time
![Impact on datasets](https://github.com/meilisearch/meilisearch/assets/6482087/28ed3d96-bdde-41c1-bdac-e90c1b1dbb23)

### Impact on search relevancy

<details>

| dataset_name | host_name        | Relevancy rate (Precision) | completion_rate  25.00% | completion_rate 50.00% | completion_rate 75.00% | completion_rate 100.00% |
|--------------|------------------|------------------------------------|-----------------|-----------------|-----------------|-----------------|
| FBIS         | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | 1_4_0            | percentile-50 |           0.00% |           0.00% |           5.00% |           5.56% |
| FBIS         | 1_4_0            | percentile-75 |           0.00% |          12.50% |          35.00% |          45.00% |
| FBIS         | 1_4_0            | percentile-90 |          20.00% |          40.00% |                 |         100.00% |
| FBIS         | 1_4_0            | average       |           5.78% |          11.16% |          21.90% |          26.29% |
| FBIS         | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FBIS         | reduce_proximity | percentile-50 |           0.00% |           0.00% |           5.00% |           5.56% |
| FBIS         | reduce_proximity | percentile-75 |           0.00% |          15.00% |          35.00% |          40.00% |
| FBIS         | reduce_proximity | percentile-90 |          20.00% |          40.00% |          85.00% |         100.00% |
| FBIS         | reduce_proximity | average       |           5.55% |          11.34% |          21.75% |          26.14% |
| FR94         | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | 1_4_0            | percentile-50 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | 1_4_0            | percentile-75 |           0.00% |           5.00% |          15.00% |          42.11% |
| FR94         | 1_4_0            | percentile-90 |          15.00% |          54.55% |         100.00% |         100.00% |
| FR94         | 1_4_0            | average       |           5.95% |          12.07% |          18.70% |          25.57% |
| FR94         | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | reduce_proximity | percentile-50 |           0.00% |           0.00% |           0.00% |           0.00% |
| FR94         | reduce_proximity | percentile-75 |           0.00% |           5.00% |          15.00% |          42.11% |
| FR94         | reduce_proximity | percentile-90 |          15.00% |          54.55% |         100.00% |         100.00% |
| FR94         | reduce_proximity | average       |           5.79% |          12.00% |          18.70% |          25.53% |
| FT           | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | 1_4_0            | percentile-50 |           0.00% |           0.00% |           5.00% |          10.00% |
| FT           | 1_4_0            | percentile-75 |           0.00% |          15.00% |          30.00% |          40.00% |
| FT           | 1_4_0            | percentile-90 |          20.00% |          50.00% |          65.00% |         100.00% |
| FT           | 1_4_0            | average       |           5.08% |          12.58% |          20.00% |          25.49% |
| FT           | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| FT           | reduce_proximity | percentile-50 |           0.00% |           0.00% |           5.00% |          10.00% |
| FT           | reduce_proximity | percentile-75 |           0.00% |          15.00% |          30.00% |          40.00% |
| FT           | reduce_proximity | percentile-90 |          10.00% |          45.00% |          60.00% |         100.00% |
| FT           | reduce_proximity | average       |           5.01% |          12.64% |          20.10% |          25.53% |
| LAT          | 1_4_0            | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | 1_4_0            | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | 1_4_0            | percentile-50 |           0.00% |           0.00% |           5.00% |           5.00% |
| LAT          | 1_4_0            | percentile-75 |           5.00% |          15.00% |          30.00% |          30.00% |
| LAT          | 1_4_0            | percentile-90 |          15.00% |          45.00% |          60.00% |          80.00% |
| LAT          | 1_4_0            | average       |           4.80% |          11.80% |          17.88% |          21.62% |
| LAT          | reduce_proximity | percentile-10 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | reduce_proximity | percentile-25 |           0.00% |           0.00% |           0.00% |           0.00% |
| LAT          | reduce_proximity | percentile-50 |           0.00% |           0.00% |           5.00% |           5.00% |
| LAT          | reduce_proximity | percentile-75 |           0.00% |          11.11% |          25.00% |          35.00% |
| LAT          | reduce_proximity | percentile-90 |          15.00% |          45.00% |          55.00% |          80.00% |
| LAT          | reduce_proximity | average       |           4.43% |          11.23% |          17.32% |          21.45% |

</details>

### Impact on Search time

| dataset_name | host_name        |      25.00% |      50.00% |      75.00% |     100.00% | Average     |
|--------------|------------------|------------:|------------:|------------:|------------:|-------------|
| FBIS         | 1_4_0            |        3.45 | 7.446666667 | 9.773489933 | 9.620300752 | 7.572614338 |
| FBIS         | reduce_proximity | 2.983333333 | 5.316666667 | 6.911073826 | 7.637218045 | 5.712072968 |
| FR94         | 1_4_0            | 2.236666667 |        4.45 | 5.523489933 | 4.560150376 | 4.192576744 |
| FR94         | reduce_proximity |        2.09 | 3.991666667 | 4.981543624 | 4.266917293 | 3.832531896 |
| FT           | 1_4_0            | 5.956666667 | 9.656666667 | 13.86912752 | 10.83270677 |  10.0787919 |
| FT           | reduce_proximity |        4.51 | 5.981666667 | 7.701342282 | 6.766917293 |  6.23998156 |
| LAT          | 1_4_0            | 5.856666667 | 9.233333333 | 12.98322148 | 10.78759398 | 9.715203865 |
| LAT          | reduce_proximity |        6.91 | 6.706666667 | 8.463087248 | 8.265037594 | 7.586197877 |

## Technical approach

- Ensure the MAX_DISTANCE constant is used everywhere needed
- Reduce the MAX_DISTANCE from 8 to 4

## Related

TBD

Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-10-18 14:56:08 +00:00