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kNN vector rescoring for quantized vectors (elastic#116663)
(cherry picked from commit 5996772) # Conflicts: # server/src/main/java/org/elasticsearch/search/vectors/KnnSearchBuilder.java # x-pack/plugin/rank-rrf/src/main/java/org/elasticsearch/xpack/rank/rrf/RRFRankBuilder.java
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pr: 116663 | ||
summary: KNN vector rescoring for quantized vectors | ||
area: Vector Search | ||
type: feature | ||
issues: [] |
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137 changes: 137 additions & 0 deletions
137
...c/src/yamlRestTest/resources/rest-api-spec/test/search.vectors/210_knn_search_profile.yml
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setup: | ||
- requires: | ||
reason: 'Quantized vector rescoring is required' | ||
test_runner_features: [ capabilities ] | ||
capabilities: | ||
- method: GET | ||
path: /_search | ||
capabilities: [ knn_quantized_vector_rescore ] | ||
- skip: | ||
features: "headers" | ||
|
||
- do: | ||
indices.create: | ||
index: bbq_hnsw | ||
body: | ||
settings: | ||
index: | ||
number_of_shards: 1 | ||
mappings: | ||
properties: | ||
vector: | ||
type: dense_vector | ||
dims: 64 | ||
index: true | ||
similarity: max_inner_product | ||
index_options: | ||
type: bbq_hnsw | ||
|
||
- do: | ||
index: | ||
index: bbq_hnsw | ||
id: "1" | ||
body: | ||
vector: [0.077, 0.32 , -0.205, 0.63 , 0.032, 0.201, 0.167, -0.313, | ||
0.176, 0.531, -0.375, 0.334, -0.046, 0.078, -0.349, 0.272, | ||
0.307, -0.083, 0.504, 0.255, -0.404, 0.289, -0.226, -0.132, | ||
-0.216, 0.49 , 0.039, 0.507, -0.307, 0.107, 0.09 , -0.265, | ||
-0.285, 0.336, -0.272, 0.369, -0.282, 0.086, -0.132, 0.475, | ||
-0.224, 0.203, 0.439, 0.064, 0.246, -0.396, 0.297, 0.242, | ||
-0.028, 0.321, -0.022, -0.009, -0.001 , 0.031, -0.533, 0.45, | ||
-0.683, 1.331, 0.194, -0.157, -0.1 , -0.279, -0.098, -0.176] | ||
# Flush in order to provoke a merge later | ||
- do: | ||
indices.flush: | ||
index: bbq_hnsw | ||
|
||
- do: | ||
index: | ||
index: bbq_hnsw | ||
id: "2" | ||
body: | ||
vector: [0.196, 0.514, 0.039, 0.555, -0.042, 0.242, 0.463, -0.348, | ||
-0.08 , 0.442, -0.067, -0.05 , -0.001, 0.298, -0.377, 0.048, | ||
0.307, 0.159, 0.278, 0.119, -0.057, 0.333, -0.289, -0.438, | ||
-0.014, 0.361, -0.169, 0.292, -0.229, 0.123, 0.031, -0.138, | ||
-0.139, 0.315, -0.216, 0.322, -0.445, -0.059, 0.071, 0.429, | ||
-0.602, -0.142, 0.11 , 0.192, 0.259, -0.241, 0.181, -0.166, | ||
0.082, 0.107, -0.05 , 0.155, 0.011, 0.161, -0.486, 0.569, | ||
-0.489, 0.901, 0.208, 0.011, -0.209, -0.153, -0.27 , -0.013] | ||
# Flush in order to provoke a merge later | ||
- do: | ||
indices.flush: | ||
index: bbq_hnsw | ||
|
||
- do: | ||
index: | ||
index: bbq_hnsw | ||
id: "3" | ||
body: | ||
name: rabbit.jpg | ||
vector: [0.139, 0.178, -0.117, 0.399, 0.014, -0.139, 0.347, -0.33 , | ||
0.139, 0.34 , -0.052, -0.052, -0.249, 0.327, -0.288, 0.049, | ||
0.464, 0.338, 0.516, 0.247, -0.104, 0.259, -0.209, -0.246, | ||
-0.11 , 0.323, 0.091, 0.442, -0.254, 0.195, -0.109, -0.058, | ||
-0.279, 0.402, -0.107, 0.308, -0.273, 0.019, 0.082, 0.399, | ||
-0.658, -0.03 , 0.276, 0.041, 0.187, -0.331, 0.165, 0.017, | ||
0.171, -0.203, -0.198, 0.115, -0.007, 0.337, -0.444, 0.615, | ||
-0.657, 1.285, 0.2 , -0.062, 0.038, 0.089, -0.068, -0.058] | ||
# Flush in order to provoke a merge later | ||
- do: | ||
indices.flush: | ||
index: bbq_hnsw | ||
|
||
- do: | ||
indices.forcemerge: | ||
index: bbq_hnsw | ||
max_num_segments: 1 | ||
--- | ||
"Profile rescored knn search": | ||
|
||
- do: | ||
search: | ||
index: bbq_hnsw | ||
body: | ||
profile: true | ||
knn: | ||
field: vector | ||
query_vector: [0.128, 0.067, -0.08 , 0.395, -0.11 , -0.259, 0.473, -0.393, | ||
0.292, 0.571, -0.491, 0.444, -0.288, 0.198, -0.343, 0.015, | ||
0.232, 0.088, 0.228, 0.151, -0.136, 0.236, -0.273, -0.259, | ||
-0.217, 0.359, -0.207, 0.352, -0.142, 0.192, -0.061, -0.17 , | ||
-0.343, 0.189, -0.221, 0.32 , -0.301, -0.1 , 0.005, 0.232, | ||
-0.344, 0.136, 0.252, 0.157, -0.13 , -0.244, 0.193, -0.034, | ||
-0.12 , -0.193, -0.102, 0.252, -0.185, -0.167, -0.575, 0.582, | ||
-0.426, 0.983, 0.212, 0.204, 0.03 , -0.276, -0.425, -0.158] | ||
k: 3 | ||
num_candidates: 3 | ||
"rescore_vector": | ||
"num_candidates_factor": 2.0 | ||
|
||
# We expect the knn search ops + rescoring num_cnaidates (for rescoring) per shard | ||
- match: { profile.shards.0.dfs.knn.0.vector_operations_count: 6 } | ||
|
||
# Search with similarity to check number of operations are propagated correctly | ||
- do: | ||
search: | ||
index: bbq_hnsw | ||
body: | ||
profile: true | ||
knn: | ||
field: vector | ||
query_vector: [0.128, 0.067, -0.08 , 0.395, -0.11 , -0.259, 0.473, -0.393, | ||
0.292, 0.571, -0.491, 0.444, -0.288, 0.198, -0.343, 0.015, | ||
0.232, 0.088, 0.228, 0.151, -0.136, 0.236, -0.273, -0.259, | ||
-0.217, 0.359, -0.207, 0.352, -0.142, 0.192, -0.061, -0.17 , | ||
-0.343, 0.189, -0.221, 0.32 , -0.301, -0.1 , 0.005, 0.232, | ||
-0.344, 0.136, 0.252, 0.157, -0.13 , -0.244, 0.193, -0.034, | ||
-0.12 , -0.193, -0.102, 0.252, -0.185, -0.167, -0.575, 0.582, | ||
-0.426, 0.983, 0.212, 0.204, 0.03 , -0.276, -0.425, -0.158] | ||
k: 3 | ||
num_candidates: 3 | ||
similarity: 100000 | ||
"rescore_vector": | ||
"num_candidates_factor": 2.0 | ||
|
||
# We expect the knn search ops + rescoring num_cnaidates (for rescoring) per shard | ||
- match: { profile.shards.0.dfs.knn.0.vector_operations_count: 6 } |
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