Commit Graph

93 Commits

Author SHA1 Message Date
Clément Renault
55c17aa38b
Rename the SearchForFacetValues struct 2023-06-28 15:01:50 +02:00
Clément Renault
f36de2115f
Make clippy happy 2023-06-28 15:01:50 +02:00
Clément Renault
93f30e65a9
Return the correct response JSON object from the facet-search route 2023-06-28 14:58:42 +02:00
Clément Renault
e81809aae7
Make the search for facet work 2023-06-28 14:58:41 +02:00
Kerollmops
ce7e7f12c8
Introduce the facet search route 2023-06-28 14:58:41 +02:00
meili-bors[bot]
d4f10800f2
Merge #3834
3834: Define searchable fields at runtime r=Kerollmops a=ManyTheFish

## Summary
This feature allows the end-user to search in one or multiple attributes using the search parameter `attributesToSearchOn`:

```json
{
  "q": "Captain Marvel",
  "attributesToSearchOn": ["title"]
}
```

This feature act like a filter, forcing Meilisearch to only return the documents containing the requested words in the attributes-to-search-on. Note that, with the matching strategy `last`, Meilisearch will only ensure that the first word is in the attributes-to-search-on, but, the retrieved documents will be ordered taking into account the word contained in the attributes-to-search-on. 

## Trying the prototype

A dedicated docker image has been released for this feature:

#### last prototype version:

```bash
docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-1
```

#### others prototype versions:

```bash
docker pull getmeili/meilisearch:prototype-define-searchable-fields-at-search-time-0
```

## Technical Detail

The attributes-to-search-on list is given to the search context, then, the search context uses the `fid_word_docids`database using only the allowed field ids instead of the global `word_docids` database. This is the same for the prefix databases.
The database cache is updated with the merged values, meaning that the union of the field-id-database values is only made if the requested key is missing from the cache.

### Relevancy limits

Almost all ranking rules behave as expected when ordering the documents.
Only `proximity` could miss-order documents if all the searched words are in the restricted attribute but a better proximity is found in an ignored attribute in a document that should be ranked lower. I put below a failing test showing it:
```rust
#[actix_rt::test]
async fn proximity_ranking_rule_order() {
    let server = Server::new().await;
    let index = index_with_documents(
        &server,
        &json!([
        {
            "title": "Captain super mega cool. A Marvel story",
            // Perfect distance between words in an ignored attribute
            "desc": "Captain Marvel",
            "id": "1",
        },
        {
            "title": "Captain America from Marvel",
            "desc": "a Shazam ersatz",
            "id": "2",
        }]),
    )
    .await;

    // Document 2 should appear before document 1.
    index
        .search(json!({"q": "Captain Marvel", "attributesToSearchOn": ["title"], "attributesToRetrieve": ["id"]}), |response, code| {
            assert_eq!(code, 200, "{}", response);
            assert_eq!(
                response["hits"],
                json!([
                    {"id": "2"},
                    {"id": "1"},
                ])
            );
        })
        .await;
}
```

Fixing this would force us to create a `fid_word_pair_proximity_docids` and a `fid_word_prefix_pair_proximity_docids` databases which may multiply the keys of `word_pair_proximity_docids` and `word_prefix_pair_proximity_docids` by the number of attributes in the searchable_attributes list. If we think we should fix this test, I'll suggest doing it in another PR.

## Related

Fixes #3772

Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-06-28 08:19:23 +00:00
Clément Renault
e69be93e42
Log warn about using both q and vector field parameters 2023-06-27 12:32:44 +02:00
Clément Renault
b2b413db12
Return all the _semanticScore values in the documents 2023-06-27 12:32:43 +02:00
Kerollmops
eecf20f109
Introduce a new invalid_vector_store 2023-06-27 12:32:42 +02:00
Louis Dureuil
864ad2a23c
Check that vector store feature is enabled 2023-06-27 12:32:42 +02:00
Kerollmops
66fb5c150c
Rename _semanticSimilarity into _semanticScore 2023-06-27 12:32:42 +02:00
Kerollmops
7aa1275337
Display the _semanticSimilarity even if the _vectors field is not displayed 2023-06-27 12:32:41 +02:00
Kerollmops
737aec1705
Expose an _semanticSimilarity as a dot product in the documents 2023-06-27 12:32:41 +02:00
Kerollmops
1b2923f7c0
Return the vector in the output of the search routes 2023-06-27 12:32:40 +02:00
Clément Renault
642b0f3a1b
Expose a new vector field on the search route 2023-06-27 12:32:38 +02:00
Clément Renault
cad90e8cbc
Add a vector field to the search routes 2023-06-27 12:32:38 +02:00
Louis Dureuil
6196a53668
Gate score_details behind a runtime experimental feature flag 2023-06-26 16:29:43 +02:00
ManyTheFish
114f878205 Rename restrictSearchableAttributes into attributesToSearchOn 2023-06-26 14:55:57 +02:00
ManyTheFish
461b5118bd Add API search setting 2023-06-26 14:55:14 +02:00
Louis Dureuil
da833eb095
Expose the scores and detailed scores in the API 2023-06-22 12:39:14 +02:00
Louis Dureuil
745c1a2668
Make parse_filter pub 2023-05-04 15:31:53 +02:00
Louis Dureuil
05cc463fbc
Draft implementation of filter support for /delete-by-batch route 2023-05-03 17:41:48 +02:00
ManyTheFish
b4b859ec8c Fix typos 2023-03-09 10:58:35 +01:00
ManyTheFish
7e2fd82e41 Use Language allow list in the highlighter 2023-03-08 12:44:16 +01:00
bors[bot]
b985b96e4e
Merge #3530
3530: Fix highlighter bug r=Kerollmops a=ManyTheFish

# Pull Request

There was a highlighting issue on CJK's character, we were highlighting too many characters and these additional characters were duplicated after the highlight tag.

## Related issue
Fixes #3517 
Fixes #3526 

## What does this PR do?
- add a test showcasing the bug
- fix the bug by activating the char_map creation of the tokenizer during the highlighting process


Co-authored-by: ManyTheFish <many@meilisearch.com>
2023-02-23 10:59:43 +00:00
ManyTheFish
28d6a4466d Make the tokenizer creating a char map during highlighting 2023-02-22 17:43:10 +01:00
Louis Dureuil
a23fbf6c7b
multi-search: Add search with an array of indexes 2023-02-22 17:04:12 +01:00
Louis Dureuil
74859ecd61
Add min and max facet stats 2023-02-20 13:52:27 +01:00
Tamo
8fb7b1d10f
bump deserr 2023-02-14 20:04:30 +01:00
Kerollmops
a015e232ab
Merge remote-tracking branch 'origin/release-v1.0.0' into bring-v1-changes 2023-02-06 16:41:10 +01:00
Louis Dureuil
924d5d4c11
clippy: remove needless lifetimes 2023-01-31 10:40:48 +01:00
Louis Dureuil
3296cf7ae6
clippy: remove needless lifetimes 2023-01-31 09:32:40 +01:00
Loïc Lecrenier
9194508a0f Refactor query parameter deserialisation logic 2023-01-17 11:07:07 +01:00
Loïc Lecrenier
766dd830ae Update deserr to latest version + add new error codes for missing fields
- missing_api_key_indexes
- missing_api_key_actions
- missing_api_key_expires_at

- missing_swap_indexes_indexes
2023-01-17 09:43:07 +01:00
Loïc Lecrenier
436ae4e466 Improve error messages generated by deserr
Split Json and Query Parameter error types
2023-01-17 09:43:07 +01:00
Kerollmops
cde62fcb5b
Merge remote-tracking branch 'origin/release-v1.0.0' into import-milli 2023-01-16 17:35:18 +01:00
Kerollmops
4fb47492e5
Make clippy happy 2023-01-16 16:35:58 +01:00
Tamo
6d658f4c52
fix a wrong error code + update some error messages 2023-01-11 19:14:11 +01:00
Tamo
a68ac3a1dc
reformat the headers 2023-01-11 19:08:39 +01:00
Loïc Lecrenier
1fc11264e8
Refactor deserr integration 2023-01-11 19:08:39 +01:00
Tamo
d0a85057a3 fix the bad filter test 2023-01-11 11:37:12 +01:00
Tamo
50ce0409bc
Integrate deserr on the most important routes 2023-01-05 20:48:29 +01:00
Colby Allen
ad2b1467da Renames meilisearch-http to meilisearch 2022-12-08 08:22:53 -07:00