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[
"Q&A with Similarity Learning - Qdrant",
"Model serving"
] | /articles/faq-question-answering/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(65) | [
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] | p | In serve.py we load and encode all the answers and then look for the closest vectors to the questions we are interested in: | [
"articles",
"articles/faq-question-answering"
] | 4,372 |
[
"Q&A with Similarity Learning - Qdrant",
"Model serving"
] | /articles/faq-question-answering/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(66) | [
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"articles/faq-question-answering"
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[
"Q&A with Similarity Learning - Qdrant",
"Model serving"
] | /articles/faq-question-answering/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(66) | [
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"articles",
"articles/faq-question-answering"
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[
"Q&A with Similarity Learning - Qdrant",
"Model serving"
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[
"What is Qdrant? - Qdrant",
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[
"What is Qdrant? - Qdrant",
"Introduction"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(2) | [
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"documentation",
"documentation/overview"
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[
"What is Qdrant? - Qdrant",
"Introduction"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(3) | [
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] | p | You can think of the payloads as additional pieces of information that can help you | [
"documentation",
"documentation/overview"
] | 4,396 |
[
"What is Qdrant? - Qdrant",
"What is Qdrant?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(4) | [
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[
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"What is Qdrant?"
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] | p | With that out of the way, let’s talk about what are vector databases. | [
"documentation",
"documentation/overview"
] | 4,401 |
[
"What is Qdrant? - Qdrant"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > h2:nth-of-type(2) | [
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[
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[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(9) | [
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[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(9) | [
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[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
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] | p | Here’s a quick overview of the three: | [
"documentation",
"documentation/overview"
] | 4,430 |
[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > ul:nth-of-type(1) > li:nth-of-type(1) | [
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[
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"What Are Vector Databases?"
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] | li | The output of the cosine similarity ranges from -1 to 1, where -1 means the two things | [
"documentation",
"documentation/overview"
] | 4,438 |
[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > ul:nth-of-type(1) > li:nth-of-type(1) | [
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] | li | metric is another way of measuring how similar two things are, like cosine similarity. | [
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[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > ul:nth-of-type(1) > li:nth-of-type(2) | [
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[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
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"documentation",
"documentation/overview"
] | 4,451 |
[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > ul:nth-of-type(1) > li:nth-of-type(3) | [
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] | li | measure the distance between two places on a map. | [
"documentation",
"documentation/overview"
] | 4,454 |
[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > ul:nth-of-type(1) > li:nth-of-type(3) | [
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] | li | or, in other words, to understand how far apart they are. | [
"documentation",
"documentation/overview"
] | 4,459 |
[
"What is Qdrant? - Qdrant",
"What Are Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(12) | [
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[
"What is Qdrant? - Qdrant",
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] | h2 | Why do we need Vector Databases? | [
"documentation",
"documentation/overview"
] | 4,462 |
[
"What is Qdrant? - Qdrant",
"Why do we need Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(13) | [
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"What is Qdrant? - Qdrant",
"Why do we need Vector Databases?"
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"documentation/overview"
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[
"What is Qdrant? - Qdrant",
"Why do we need Vector Databases?"
] | /documentation/overview/ | html > body > div:nth-of-type(1) > section > div > div > article > p:nth-of-type(13) | [
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[
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