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"Matching the tool to the task"
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[
"On Hybrid Search - Qdrant",
"Matching the tool to the task"
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[
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"Matching the tool to the task"
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[
"On Hybrid Search - Qdrant",
"Matching the tool to the task"
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[
"On Hybrid Search - Qdrant",
"The fast search: A Fallback strategy"
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"The fast search: A Fallback strategy"
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"The fast search: A Fallback strategy"
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[
"On Hybrid Search - Qdrant",
"The fast search: A Fallback strategy"
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"The fast search: A Fallback strategy"
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[
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"The fast search: A Fallback strategy"
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[
"On Hybrid Search - Qdrant",
"The fast search: A Fallback strategy"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(8) | [
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] | p | The pseudocode of such strategy may go as following: | [
"articles",
"articles/hybrid-search"
] | 3,901 |
[
"On Hybrid Search - Qdrant"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h1:nth-of-type(3) | [
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] | p | There is a bunch of search engines that specialize in the full-text search we found interesting: | [
"articles",
"articles/hybrid-search"
] | 3,904 |
[
"On Hybrid Search - Qdrant",
"The precise search: The re-ranking strategy"
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[
"On Hybrid Search - Qdrant",
"The precise search: The re-ranking strategy"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > ul:nth-of-type(5) > li:nth-of-type(3) | [
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[
"On Hybrid Search - Qdrant",
"The precise search: The re-ranking strategy"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(10) | [
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"The precise search: The re-ranking strategy"
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[
"On Hybrid Search - Qdrant",
"Why not linear combination?"
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[
"On Hybrid Search - Qdrant",
"Why not linear combination?"
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[
"On Hybrid Search - Qdrant",
"Why not linear combination?"
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"Why not linear combination?"
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"articles/hybrid-search"
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[
"On Hybrid Search - Qdrant",
"Why not linear combination?"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(13) | [
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[
"On Hybrid Search - Qdrant",
"Why not linear combination?"
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[
"On Hybrid Search - Qdrant",
"Why not linear combination?"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(15) | [
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] | p | There is a common approach to re-rank the search results with a model that takes some additional factors | [
"articles",
"articles/hybrid-search"
] | 3,941 |
[
"On Hybrid Search - Qdrant",
"How to approach re-ranking?"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(17) | [
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] | p | use so-called cross-encoder models. | [
"articles",
"articles/hybrid-search"
] | 3,947 |
[
"On Hybrid Search - Qdrant",
"How to approach re-ranking?"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(18) | [
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"articles",
"articles/hybrid-search"
] | 3,948 |
[
"On Hybrid Search - Qdrant",
"How to approach re-ranking?"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(18) | [
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[
"On Hybrid Search - Qdrant",
"How to approach re-ranking?"
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"On Hybrid Search - Qdrant",
"How to approach re-ranking?"
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] | p | This is how a pseudocode for that strategy look like: | [
"articles",
"articles/hybrid-search"
] | 3,954 |
[
"On Hybrid Search - Qdrant",
"How to approach re-ranking?"
] | /articles/hybrid-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(20) | [
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[
"On Hybrid Search - Qdrant",
"How to approach re-ranking?"
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[
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[
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"Experiments"
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[
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[
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