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[
"Search - Qdrant",
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[
"Search - Qdrant",
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[
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[
"Search - Qdrant",
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"documentation",
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] | 6,881 |
[
"Search - Qdrant",
"Grouping API"
] | /documentation/concepts/search/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(54) | [
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] | p | With the groups API, you will be able to get the best N points for each document, assuming that the payload of the points contains the document ID. | [
"documentation",
"documentation/concepts",
"documentation/concepts/search"
] | 6,882 |
[
"Search - Qdrant",
"Grouping API"
] | /documentation/concepts/search/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(54) | [
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] | p | Of course there will be times where the best N points cannot be fulfilled due to lack of points or a big distance with respect to the query. | [
"documentation",
"documentation/concepts",
"documentation/concepts/search"
] | 6,883 |
[
"Search - Qdrant",
"Grouping API"
] | /documentation/concepts/search/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(54) | [
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[
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] | p | One way of optimizing storage when using groups is to store the information shared by the points with the same group id in a single point in another collection. | [
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[
"Search - Qdrant",
"Lookup in groups"
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"documentation",
"documentation/concepts",
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[
"Search - Qdrant",
"Lookup in groups"
] | /documentation/concepts/search/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(66) | [
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"documentation",
"documentation/concepts",
"documentation/concepts/search"
] | 6,903 |
[
"Search - Qdrant",
"Lookup in groups"
] | /documentation/concepts/search/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(67) | [
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] | p | For the with_lookup parameter, you can also use the shorthand with_lookup="documents" to bring the whole payload and vector(s) without explicitly specifying it. | [
"documentation",
"documentation/concepts",
"documentation/concepts/search"
] | 6,904 |
[
"Search - Qdrant",
"Lookup in groups"
] | /documentation/concepts/search/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(68) | [
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[
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[
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"Recommendation API"
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] | p | Example result of this API would be | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,915 |
[
"Explore - Qdrant",
"Recommendation API"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(5) | [
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[
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[
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] | p | It preprocesses the input examples to create a single vector that is used for the search. | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,920 |
[
"Explore - Qdrant",
"Average vector strategy"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(6) | [
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[
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[
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] | p | The way to produce the searching vector is by first averaging all the positive and negative examples separately, and then combining them into a single vector using the following formula: | [
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[
"Explore - Qdrant",
"Average vector strategy"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(8) | [
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] | p | In the case of not having any negative examples, the search vector will simply be equal to avg_positive. | [
"documentation",
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[
"Explore - Qdrant",
"Average vector strategy"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(9) | [
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[
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] | p | A new strategy introduced in v1.6, is called best_score. | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,928 |
[
"Explore - Qdrant",
"Best score strategy"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(11) | [
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] | p | This means that the more examples you provide, the slower the search will be. | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,933 |
[
"Explore - Qdrant",
"Best score strategy"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(12) | [
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"documentation",
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[
"Explore - Qdrant",
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] | p | To use this algorithm, you need to set "strategy": "best_score" in the recommendation request. | [
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"documentation/concepts",
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[
"Explore - Qdrant"
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[
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[
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[
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[
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[
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"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,947 |
[
"Explore - Qdrant",
"Lookup vectors from another collection"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,948 |
[
"Explore - Qdrant",
"Lookup vectors from another collection"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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] | p | you can use the lookup_from parameter. | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,949 |
[
"Explore - Qdrant",
"Lookup vectors from another collection"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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] | p | Vectors are retrieved from the external collection by ids provided in the positive and negative lists. | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,952 |
[
"Explore - Qdrant",
"Lookup vectors from another collection"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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[
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[
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] | p | The result of this API contains one array per recommendation requests. | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,957 |
[
"Explore - Qdrant"
] | /documentation/concepts/explore/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > h2:nth-of-type(3) | [
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[
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[
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[
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"documentation/concepts",
"documentation/concepts/explore"
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[
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"Discovery API"
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[
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] | h3 | Discovery search | [
"documentation",
"documentation/concepts",
"documentation/concepts/explore"
] | 6,971 |
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