mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-10 23:18:55 +01:00
Update tests
This commit is contained in:
Louis Dureuil
parent
a35a339c3d
commit
1120a5296c
@ -128,7 +128,7 @@ async fn simple_search() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true}),
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.2, "embedder": "default"}, "retrieveVectors": true}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -137,7 +137,7 @@ async fn simple_search() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.5}, "showRankingScore": true, "retrieveVectors": true}),
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.5, "embedder": "default"}, "showRankingScore": true, "retrieveVectors": true}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -146,7 +146,7 @@ async fn simple_search() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.8}, "showRankingScore": true, "retrieveVectors": true}),
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.8, "embedder": "default"}, "showRankingScore": true, "retrieveVectors": true}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -161,7 +161,7 @@ async fn limit_offset() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true, "offset": 1, "limit": 1}),
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.2, "embedder": "default"}, "retrieveVectors": true, "offset": 1, "limit": 1}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -174,7 +174,7 @@ async fn limit_offset() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.9}, "retrieveVectors": true, "offset": 1, "limit": 1}),
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 0.9, "embedder": "default"}, "retrieveVectors": true, "offset": 1, "limit": 1}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -188,8 +188,11 @@ async fn simple_search_hf() {
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let server = Server::new().await;
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let index = index_with_documents_hf(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
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let (response, code) =
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index.search_post(json!({"q": "Captain", "hybrid": {"semanticRatio": 0.2}})).await;
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "hybrid": {"semanticRatio": 0.2, "embedder": "default"}}),
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)
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.await;
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snapshot!(code, @"200 OK");
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snapshot!(response["hits"], @r###"[{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2"},{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3"},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1"}]"###);
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snapshot!(response["semanticHitCount"], @"0");
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@ -197,7 +200,7 @@ async fn simple_search_hf() {
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let (response, code) = index
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.search_post(
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// disable ranking score as the vectors between architectures are not equal
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json!({"q": "Captain", "hybrid": {"semanticRatio": 0.55}, "showRankingScore": false}),
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json!({"q": "Captain", "hybrid": {"embedder": "default", "semanticRatio": 0.55}, "showRankingScore": false}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -206,7 +209,7 @@ async fn simple_search_hf() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "hybrid": {"semanticRatio": 0.8}, "showRankingScore": false}),
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json!({"q": "Captain", "hybrid": {"embedder": "default", "semanticRatio": 0.8}, "showRankingScore": false}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -215,7 +218,7 @@ async fn simple_search_hf() {
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let (response, code) = index
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.search_post(
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json!({"q": "Movie World", "hybrid": {"semanticRatio": 0.2}, "showRankingScore": false}),
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json!({"q": "Movie World", "hybrid": {"embedder": "default", "semanticRatio": 0.2}, "showRankingScore": false}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -224,7 +227,7 @@ async fn simple_search_hf() {
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let (response, code) = index
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.search_post(
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json!({"q": "Wonder replacement", "hybrid": {"semanticRatio": 0.2}, "showRankingScore": false}),
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json!({"q": "Wonder replacement", "hybrid": {"embedder": "default", "semanticRatio": 0.2}, "showRankingScore": false}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -237,7 +240,7 @@ async fn distribution_shift() {
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let server = Server::new().await;
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let index = index_with_documents_user_provided(&server, &SIMPLE_SEARCH_DOCUMENTS_VEC).await;
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let search = json!({"q": "Captain", "vector": [1.0, 1.0], "showRankingScore": true, "hybrid": {"semanticRatio": 1.0}, "retrieveVectors": true});
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let search = json!({"q": "Captain", "vector": [1.0, 1.0], "showRankingScore": true, "hybrid": {"embedder": "default", "semanticRatio": 1.0}, "retrieveVectors": true});
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let (response, code) = index.search_post(search.clone()).await;
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snapshot!(code, @"200 OK");
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snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":{"embeddings":[[2.0,3.0]],"regenerate":false}},"_rankingScore":0.990290343761444},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":{"embeddings":[[1.0,2.0]],"regenerate":false}},"_rankingScore":0.974341630935669},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":{"embeddings":[[1.0,3.0]],"regenerate":false}},"_rankingScore":0.9472135901451112}]"###);
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@ -271,7 +274,7 @@ async fn highlighter() {
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let (response, code) = index
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.search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
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"hybrid": {"semanticRatio": 0.2},
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"hybrid": {"embedder": "default", "semanticRatio": 0.2},
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"retrieveVectors": true,
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"attributesToHighlight": [
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"desc",
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@ -287,7 +290,7 @@ async fn highlighter() {
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let (response, code) = index
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.search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
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"hybrid": {"semanticRatio": 0.8},
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"hybrid": {"embedder": "default", "semanticRatio": 0.8},
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"retrieveVectors": true,
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"showRankingScore": true,
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"attributesToHighlight": [
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@ -304,7 +307,7 @@ async fn highlighter() {
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// no highlighting on full semantic
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let (response, code) = index
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.search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
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"hybrid": {"semanticRatio": 1.0},
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"hybrid": {"embedder": "default", "semanticRatio": 1.0},
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"retrieveVectors": true,
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"showRankingScore": true,
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"attributesToHighlight": [
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@ -326,7 +329,7 @@ async fn invalid_semantic_ratio() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": 1.2}}),
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"embedder": "default", "semanticRatio": 1.2}}),
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)
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.await;
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snapshot!(code, @"400 Bad Request");
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@ -341,7 +344,7 @@ async fn invalid_semantic_ratio() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"semanticRatio": -0.8}}),
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json!({"q": "Captain", "vector": [1.0, 1.0], "hybrid": {"embedder": "default", "semanticRatio": -0.8}}),
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)
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.await;
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snapshot!(code, @"400 Bad Request");
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@ -357,7 +360,7 @@ async fn invalid_semantic_ratio() {
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let (response, code) = index
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.search_get(
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&yaup::to_string(
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&json!({"q": "Captain", "vector": [1.0, 1.0], "hybridSemanticRatio": 1.2}),
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&json!({"q": "Captain", "vector": [1.0, 1.0], "hybridEmbedder": "default", "hybridSemanticRatio": 1.2}),
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)
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.unwrap(),
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)
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@ -375,7 +378,7 @@ async fn invalid_semantic_ratio() {
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let (response, code) = index
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.search_get(
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&yaup::to_string(
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&json!({"q": "Captain", "vector": [1.0, 1.0], "hybridSemanticRatio": -0.2}),
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&json!({"q": "Captain", "vector": [1.0, 1.0], "hybridEmbedder": "default", "hybridSemanticRatio": -0.2}),
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)
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.unwrap(),
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)
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@ -398,7 +401,7 @@ async fn single_document() {
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let (response, code) = index
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.search_post(
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json!({"vector": [1.0, 3.0], "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}),
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json!({"vector": [1.0, 3.0], "hybrid": {"semanticRatio": 1.0, "embedder": "default"}, "showRankingScore": true, "retrieveVectors": true}),
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)
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.await;
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@ -414,7 +417,7 @@ async fn query_combination() {
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// search without query and vector, but with hybrid => still placeholder
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let (response, code) = index
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.search_post(json!({"hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
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.search_post(json!({"hybrid": {"embedder": "default", "semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
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.await;
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snapshot!(code, @"200 OK");
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@ -423,7 +426,7 @@ async fn query_combination() {
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// same with a different semantic ratio
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let (response, code) = index
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.search_post(json!({"hybrid": {"semanticRatio": 0.76}, "showRankingScore": true, "retrieveVectors": true}))
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.search_post(json!({"hybrid": {"embedder": "default", "semanticRatio": 0.76}, "showRankingScore": true, "retrieveVectors": true}))
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.await;
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snapshot!(code, @"200 OK");
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@ -432,7 +435,7 @@ async fn query_combination() {
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// wrong vector dimensions
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let (response, code) = index
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.search_post(json!({"vector": [1.0, 0.0, 1.0], "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
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.search_post(json!({"vector": [1.0, 0.0, 1.0], "hybrid": {"embedder": "default", "semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
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.await;
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snapshot!(code, @"400 Bad Request");
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@ -447,7 +450,7 @@ async fn query_combination() {
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// full vector
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let (response, code) = index
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.search_post(json!({"vector": [1.0, 0.0], "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
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.search_post(json!({"vector": [1.0, 0.0], "hybrid": {"embedder": "default", "semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}))
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.await;
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snapshot!(code, @"200 OK");
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@ -456,7 +459,7 @@ async fn query_combination() {
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// full keyword, without a query
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let (response, code) = index
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.search_post(json!({"vector": [1.0, 0.0], "hybrid": {"semanticRatio": 0.0}, "showRankingScore": true, "retrieveVectors": true}))
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.search_post(json!({"vector": [1.0, 0.0], "hybrid": {"embedder": "default", "semanticRatio": 0.0}, "showRankingScore": true, "retrieveVectors": true}))
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.await;
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snapshot!(code, @"200 OK");
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@ -465,7 +468,7 @@ async fn query_combination() {
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// query + vector, full keyword => keyword
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let (response, code) = index
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.search_post(json!({"q": "Captain", "vector": [1.0, 0.0], "hybrid": {"semanticRatio": 0.0}, "showRankingScore": true, "retrieveVectors": true}))
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.search_post(json!({"q": "Captain", "vector": [1.0, 0.0], "hybrid": {"embedder": "default", "semanticRatio": 0.0}, "showRankingScore": true, "retrieveVectors": true}))
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.await;
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snapshot!(code, @"200 OK");
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@ -480,7 +483,7 @@ async fn query_combination() {
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snapshot!(code, @"400 Bad Request");
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snapshot!(response, @r###"
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{
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"message": "Invalid request: missing `hybrid` parameter when both `q` and `vector` are present.",
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"message": "Invalid request: missing `hybrid` parameter when `vector` is present.",
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"code": "missing_search_hybrid",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#missing_search_hybrid"
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@ -490,7 +493,7 @@ async fn query_combination() {
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// full vector, without a vector => error
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "hybrid": {"semanticRatio": 1.0}, "showRankingScore": true, "retrieveVectors": true}),
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json!({"q": "Captain", "hybrid": {"semanticRatio": 1.0, "embedder": "default"}, "showRankingScore": true, "retrieveVectors": true}),
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)
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.await;
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@ -507,7 +510,7 @@ async fn query_combination() {
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// hybrid without a vector => full keyword
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let (response, code) = index
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.search_post(
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json!({"q": "Planet", "hybrid": {"semanticRatio": 0.99}, "showRankingScore": true, "retrieveVectors": true}),
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json!({"q": "Planet", "hybrid": {"semanticRatio": 0.99, "embedder": "default"}, "showRankingScore": true, "retrieveVectors": true}),
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)
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.await;
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@ -523,7 +526,7 @@ async fn retrieve_vectors() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true}),
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json!({"q": "Captain", "hybrid": {"embedder": "default", "semanticRatio": 0.2}, "retrieveVectors": true}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -573,7 +576,7 @@ async fn retrieve_vectors() {
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let (response, code) = index
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.search_post(
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json!({"q": "Captain", "hybrid": {"semanticRatio": 0.2}, "retrieveVectors": true}),
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json!({"q": "Captain", "hybrid": {"embedder": "default", "semanticRatio": 0.2}, "retrieveVectors": true}),
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)
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.await;
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snapshot!(code, @"200 OK");
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@ -1099,22 +1099,28 @@ async fn experimental_feature_vector_store() {
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index.add_documents(json!(documents), None).await;
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index.wait_task(0).await;
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index
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.search(json!({
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let (response, code) = index
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.search_post(json!({
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"vector": [1.0, 2.0, 3.0],
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"hybrid": {
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"embedder": "manual",
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},
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"showRankingScore": true
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}), |response, code|{
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meili_snap::snapshot!(code, @"400 Bad Request");
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meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
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{
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"message": "Passing `vector` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
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"code": "feature_not_enabled",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
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}
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"###);
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})
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}))
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.await;
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{
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meili_snap::snapshot!(code, @"400 Bad Request");
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meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
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{
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"message": "Passing `vector` as a parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
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"code": "feature_not_enabled",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
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}
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"###);
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}
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index
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.search(json!({
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"retrieveVectors": true,
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@ -1162,6 +1168,9 @@ async fn experimental_feature_vector_store() {
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let (response, code) = index
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.search_post(json!({
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"vector": [1.0, 2.0, 3.0],
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"hybrid": {
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"embedder": "manual",
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},
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"showRankingScore": true,
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"retrieveVectors": true,
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}))
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@ -18,7 +18,7 @@ async fn similar_unexisting_index() {
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});
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index
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.similar(json!({"id": 287947}), |response, code| {
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.similar(json!({"id": 287947, "embedder": "manual"}), |response, code| {
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assert_eq!(code, 404);
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assert_eq!(response, expected_response);
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})
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@ -44,7 +44,7 @@ async fn similar_feature_not_enabled() {
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let server = Server::new().await;
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let index = server.index("test");
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let (response, code) = index.similar_post(json!({"id": 287947})).await;
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let (response, code) = index.similar_post(json!({"id": 287947, "embedder": "manual"})).await;
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snapshot!(code, @"400 Bad Request");
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snapshot!(json_string!(response), @r###"
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{
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@ -199,7 +199,8 @@ async fn similar_not_found_id() {
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snapshot!(code, @"202 Accepted");
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server.wait_task(response.uid()).await;
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let (response, code) = index.similar_post(json!({"id": "definitely-doesnt-exist"})).await;
|
||||
let (response, code) =
|
||||
index.similar_post(json!({"id": "definitely-doesnt-exist", "embedder": "manual"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
@ -230,7 +231,8 @@ async fn similar_bad_offset() {
|
||||
snapshot!(code, @"202 Accepted");
|
||||
server.wait_task(response.uid()).await;
|
||||
|
||||
let (response, code) = index.similar_post(json!({"id": 287947, "offset": "doggo"})).await;
|
||||
let (response, code) =
|
||||
index.similar_post(json!({"id": 287947, "offset": "doggo", "embedder": "manual"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
@ -241,7 +243,7 @@ async fn similar_bad_offset() {
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index.similar_get("?id=287947&offset=doggo").await;
|
||||
let (response, code) = index.similar_get("?id=287947&offset=doggo&embedder=manual").await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
@ -272,7 +274,8 @@ async fn similar_bad_limit() {
|
||||
snapshot!(code, @"202 Accepted");
|
||||
server.wait_task(response.uid()).await;
|
||||
|
||||
let (response, code) = index.similar_post(json!({"id": 287947, "limit": "doggo"})).await;
|
||||
let (response, code) =
|
||||
index.similar_post(json!({"id": 287947, "limit": "doggo", "embedder": "manual"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
@ -283,7 +286,7 @@ async fn similar_bad_limit() {
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index.similar_get("?id=287946&limit=doggo").await;
|
||||
let (response, code) = index.similar_get("?id=287946&limit=doggo&embedder=manual").await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
@ -323,7 +326,8 @@ async fn similar_bad_filter() {
|
||||
snapshot!(code, @"202 Accepted");
|
||||
index.wait_task(value.uid()).await;
|
||||
|
||||
let (response, code) = index.similar_post(json!({ "id": 287947, "filter": true })).await;
|
||||
let (response, code) =
|
||||
index.similar_post(json!({ "id": 287947, "filter": true, "embedder": "manual" })).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
@ -361,7 +365,7 @@ async fn filter_invalid_syntax_object() {
|
||||
index.wait_task(value.uid()).await;
|
||||
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": "title & Glass"}), |response, code| {
|
||||
.similar(json!({"id": 287947, "filter": "title & Glass", "embedder": "manual"}), |response, code| {
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `title & Glass`.\n1:14 title & Glass",
|
||||
@ -400,7 +404,7 @@ async fn filter_invalid_syntax_array() {
|
||||
index.wait_task(value.uid()).await;
|
||||
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": ["title & Glass"]}), |response, code| {
|
||||
.similar(json!({"id": 287947, "filter": ["title & Glass"], "embedder": "manual"}), |response, code| {
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `title & Glass`.\n1:14 title & Glass",
|
||||
@ -446,7 +450,7 @@ async fn filter_invalid_syntax_string() {
|
||||
});
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": "title = Glass XOR title = Glass"}),
|
||||
json!({"id": 287947, "filter": "title = Glass XOR title = Glass", "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
@ -486,10 +490,13 @@ async fn filter_invalid_attribute_array() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": ["many = Glass"]}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": ["many = Glass"], "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -524,10 +531,13 @@ async fn filter_invalid_attribute_string() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": "many = Glass"}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": "many = Glass", "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -562,10 +572,13 @@ async fn filter_reserved_geo_attribute_array() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": ["_geo = Glass"]}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": ["_geo = Glass"], "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -600,10 +613,13 @@ async fn filter_reserved_geo_attribute_string() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": "_geo = Glass"}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": "_geo = Glass", "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -638,10 +654,13 @@ async fn filter_reserved_attribute_array() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": ["_geoDistance = Glass"]}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": ["_geoDistance = Glass"], "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -676,10 +695,13 @@ async fn filter_reserved_attribute_string() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": "_geoDistance = Glass"}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": "_geoDistance = Glass", "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -714,10 +736,13 @@ async fn filter_reserved_geo_point_array() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": ["_geoPoint = Glass"]}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": ["_geoPoint = Glass"], "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -752,10 +777,13 @@ async fn filter_reserved_geo_point_string() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_similar_filter"
|
||||
});
|
||||
index
|
||||
.similar(json!({"id": 287947, "filter": "_geoPoint = Glass"}), |response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
})
|
||||
.similar(
|
||||
json!({"id": 287947, "filter": "_geoPoint = Glass", "embedder": "manual"}),
|
||||
|response, code| {
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -765,7 +793,8 @@ async fn similar_bad_retrieve_vectors() {
|
||||
server.set_features(json!({"vectorStore": true})).await;
|
||||
let index = server.index("test");
|
||||
|
||||
let (response, code) = index.similar_post(json!({"retrieveVectors": "doggo"})).await;
|
||||
let (response, code) =
|
||||
index.similar_post(json!({"retrieveVectors": "doggo", "embedder": "manual"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
@ -776,7 +805,8 @@ async fn similar_bad_retrieve_vectors() {
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index.similar_post(json!({"retrieveVectors": [true]})).await;
|
||||
let (response, code) =
|
||||
index.similar_post(json!({"retrieveVectors": [true], "embedder": "manual"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
|
||||
@ -80,9 +80,11 @@ async fn basic() {
|
||||
index.wait_task(value.uid()).await;
|
||||
|
||||
index
|
||||
.similar(json!({"id": 143, "retrieveVectors": true}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
.similar(
|
||||
json!({"id": 143, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
[
|
||||
{
|
||||
"title": "Escape Room",
|
||||
@ -154,13 +156,16 @@ async fn basic() {
|
||||
}
|
||||
]
|
||||
"###);
|
||||
})
|
||||
},
|
||||
)
|
||||
.await;
|
||||
|
||||
index
|
||||
.similar(json!({"id": "299537", "retrieveVectors": true}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
.similar(
|
||||
json!({"id": "299537", "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
[
|
||||
{
|
||||
"title": "How to Train Your Dragon: The Hidden World",
|
||||
@ -232,7 +237,8 @@ async fn basic() {
|
||||
}
|
||||
]
|
||||
"###);
|
||||
})
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
@ -272,7 +278,7 @@ async fn ranking_score_threshold() {
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0, "retrieveVectors": true}),
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"4");
|
||||
@ -358,7 +364,7 @@ async fn ranking_score_threshold() {
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.2, "retrieveVectors": true}),
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.2, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"3");
|
||||
@ -426,7 +432,7 @@ async fn ranking_score_threshold() {
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.3, "retrieveVectors": true}),
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.3, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"2");
|
||||
@ -476,7 +482,7 @@ async fn ranking_score_threshold() {
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.6, "retrieveVectors": true}),
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.6, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"1");
|
||||
@ -508,7 +514,7 @@ async fn ranking_score_threshold() {
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.9, "retrieveVectors": true}),
|
||||
json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.9, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @"[]");
|
||||
@ -553,7 +559,7 @@ async fn filter() {
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 522681, "filter": "release_year = 2019", "retrieveVectors": true}),
|
||||
json!({"id": 522681, "filter": "release_year = 2019", "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
@ -617,7 +623,7 @@ async fn filter() {
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 522681, "filter": "release_year < 2000", "retrieveVectors": true}),
|
||||
json!({"id": 522681, "filter": "release_year < 2000", "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
@ -681,9 +687,11 @@ async fn limit_and_offset() {
|
||||
index.wait_task(value.uid()).await;
|
||||
|
||||
index
|
||||
.similar(json!({"id": 143, "limit": 1, "retrieveVectors": true}), |response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
.similar(
|
||||
json!({"id": 143, "limit": 1, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
[
|
||||
{
|
||||
"title": "Escape Room",
|
||||
@ -704,12 +712,13 @@ async fn limit_and_offset() {
|
||||
}
|
||||
]
|
||||
"###);
|
||||
})
|
||||
},
|
||||
)
|
||||
.await;
|
||||
|
||||
index
|
||||
.similar(
|
||||
json!({"id": 143, "limit": 1, "offset": 1, "retrieveVectors": true}),
|
||||
json!({"id": 143, "limit": 1, "offset": 1, "retrieveVectors": true, "embedder": "manual"}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
|
||||
@ -624,7 +624,8 @@ async fn clear_documents() {
|
||||
"###);
|
||||
|
||||
// Make sure the arroy DB has been cleared
|
||||
let (documents, _code) = index.search_post(json!({ "vector": [1, 1, 1] })).await;
|
||||
let (documents, _code) =
|
||||
index.search_post(json!({ "vector": [1, 1, 1], "hybrid": {"embedder": "manual"} })).await;
|
||||
snapshot!(documents, @r###"
|
||||
{
|
||||
"hits": [],
|
||||
@ -685,7 +686,11 @@ async fn add_remove_one_vector_4588() {
|
||||
let task = index.wait_task(value.uid()).await;
|
||||
snapshot!(task, name: "document-deleted");
|
||||
|
||||
let (documents, _code) = index.search_post(json!({"vector": [1, 1, 1] })).await;
|
||||
let (documents, _code) = index
|
||||
.search_post(
|
||||
json!({"vector": [1, 1, 1], "hybrid": {"semanticRatio": 1.0, "embedder": "manual"} }),
|
||||
)
|
||||
.await;
|
||||
snapshot!(documents, @r###"
|
||||
{
|
||||
"hits": [
|
||||
|
||||
@ -449,7 +449,7 @@ async fn it_works() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "chien de chasse",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"},
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -489,7 +489,7 @@ async fn it_works() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "petit chien",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -529,7 +529,7 @@ async fn it_works() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "grand chien de berger des montagnes",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -616,7 +616,7 @@ async fn tokenize_long_text() {
|
||||
"q": "grand chien de berger des montagnes",
|
||||
"showRankingScore": true,
|
||||
"attributesToRetrieve": ["id"],
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1064,7 +1064,7 @@ async fn smaller_dimensions() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "chien de chasse",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1104,7 +1104,7 @@ async fn smaller_dimensions() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "petit chien",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1144,7 +1144,7 @@ async fn smaller_dimensions() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "grand chien de berger des montagnes",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1295,7 +1295,7 @@ async fn small_embedding_model() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "chien de chasse",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1335,7 +1335,7 @@ async fn small_embedding_model() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "petit chien",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1375,7 +1375,7 @@ async fn small_embedding_model() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "grand chien de berger des montagnes",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1525,7 +1525,7 @@ async fn legacy_embedding_model() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "chien de chasse",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1565,7 +1565,7 @@ async fn legacy_embedding_model() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "petit chien",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1605,7 +1605,7 @@ async fn legacy_embedding_model() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "grand chien de berger des montagnes",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1756,7 +1756,7 @@ async fn it_still_works() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "chien de chasse",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1796,7 +1796,7 @@ async fn it_still_works() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "petit chien",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
@ -1836,7 +1836,7 @@ async fn it_still_works() {
|
||||
let (response, code) = index
|
||||
.search_post(json!({
|
||||
"q": "grand chien de berger des montagnes",
|
||||
"hybrid": {"semanticRatio": 1.0}
|
||||
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
|
||||
}))
|
||||
.await;
|
||||
snapshot!(code, @"200 OK");
|
||||
|
||||
@ -218,7 +218,8 @@ async fn reset_embedder_documents() {
|
||||
"###);
|
||||
|
||||
// Make sure the arroy DB has been cleared
|
||||
let (documents, _code) = index.search_post(json!({ "vector": [1, 1, 1] })).await;
|
||||
let (documents, _code) =
|
||||
index.search_post(json!({ "vector": [1, 1, 1], "hybrid": {"embedder": "default"} })).await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
{
|
||||
"message": "Cannot find embedder with name `default`.",
|
||||
|
||||
Loading…
Reference in New Issue
Block a user