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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(11) | [
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] | p | We are live in the flesh. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,801 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(11) | [
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] | p | Nicholas, it’s great to have you here, dude. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,802 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And welcome to all those vector space explorers out there. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,803 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(11) | [
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] | p | We are back with another vector space talks. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,804 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(11) | [
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] | p | Today we’re going to be talking all about how to superpower your semantics search with my man Nicholas, an ML ops engineer at Malt, in case you do not know what Malt is doing. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,805 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(11) | [
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/semantic-search-vector-database"
] | 12,809 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(13) | [
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | Yeah, exactly. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,811 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(14) | [
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] | p | Well, as I mentioned, I am in an interesting spot because I’m trying to take in all the vitamin D I can while I’m listening to your talk. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,814 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | 12,815 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(14) | [
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"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And also feel free to drop questions in the chat as we go along. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,817 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(14) | [
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] | p | And if need be, I will jump in and stop Nicholas. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,818 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(14) | [
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] | p | But I know you got a little presentation for us, man you want to get into. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,819 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(15) | [
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"blog",
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(15) | [
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"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
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] | p | And thanks for the invitation to this talk, of course. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,822 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(15) | [
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] | p | So let’s start. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,823 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
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] | 12,828 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(17) | [
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] | p | Yeah, we will have superpowers at the end of this presentation. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,829 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So, yeah, hello, everyone. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,830 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So I think the introduction was already done and perfectly done by Dimitrios. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,831 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(17) | [
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] | p | So I’m Nicola and yeah, I’m working as an Mlaps engineer at Malt. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,832 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(17) | [
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] | p | And also I’m a part time teacher in a french engineering school where I teach some mlaps course. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,833 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(17) | [
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] | p | So let’s dig in today’s subjects. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,834 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So in fact, as Dimitrio said, malt is a marketplace and so our goal is to match on one side freelancers. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,835 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/semantic-search-vector-database"
] | 12,841 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(18) | [
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"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And so for that we add a matching app in production already. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,843 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(18) | [
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"blog",
"blog/semantic-search-vector-database"
] | 12,844 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(18) | [
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog/semantic-search-vector-database"
] | 12,847 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
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"blog",
"blog/semantic-search-vector-database"
] | 12,849 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(19) | [
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"blog",
"blog/semantic-search-vector-database"
] | 12,850 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And it’s not very a good user experience. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,851 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(19) | [
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
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] | p | And so to give you some numbers, when I arrived two years ago, we had two time less freelancers. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,854 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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"blog",
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] | 12,855 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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] | p | And today, and today we have around 600,000 freelancers in your base. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,856 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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"blog",
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] | 12,857 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And something we have to keep in mind about this matching app. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,859 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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] | p | And so it’s not only semantic app, is that we have two things in these apps that are not semantic. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,860 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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] | p | We have what we call art filters. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,861 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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] | 12,862 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(20) | [
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/semantic-search-vector-database"
] | 12,865 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(21) | [
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"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And on the other side, as you said, demetrius, we are talking about Rexis system here. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,867 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(21) | [
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"blog",
"blog/semantic-search-vector-database"
] | 12,868 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(21) | [
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"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And so if we do a big picture of how our system worked, we had an API with some alphilter at the beginning, then ML model that was mainly semantic and then some rescoring function with other parameters. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,870 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/semantic-search-vector-database"
] | 12,871 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(21) | [
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"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
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] | 12,873 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(22) | [
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"blog",
"blog/semantic-search-vector-database"
] | 12,874 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And then you will have a first step that is called the retrieval, where we will constrict a subsets of your freelancers. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,875 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/semantic-search-vector-database"
] | 12,876 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(22) | [
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"blog",
"blog/semantic-search-vector-database"
] | 12,877 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And so the first step will be, semantically, it will be fast, and it must be fast because you have to perform a quick selection of your more interesting freelancers and it’s built for recall, because at this step you want to be sure that you have all your relevant freelancers selected and you don’t want to exclude at this step some relevant freelancer because the ranking won’t be able to take back these freelancers. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,878 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
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] | p | At this point you don’t want to keep non relevant freelancers and you have to be able to rank them and you have to be state of the art for this part. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,883 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So let’s focus on the first part. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,884 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(23) | [
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] | p | That’s what will interesting us today. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,885 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So for the first part, in fact, we have to build this semantic space where freelancers that are close regarding their skills or their jobs are closed in this space too. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,886 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(23) | [
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] | p | And so then when we receive a project, we will have just to project this project in our space. | [
"blog",
"blog/semantic-search-vector-database"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/semantic-search-vector-database"
] | 12,889 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(23) | [
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"blog",
"blog/semantic-search-vector-database"
] | 12,890 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | Keep this in mind, it will be interesting in our next slides. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,892 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(24) | [
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] | p | And so, to get this semantic space and to get this search, we need two things. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,893 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(24) | [
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] | p | The first one is a model, because we need a model to compute some vectors and to project our opportunity and our project and our freelancers in this space. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,894 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
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[
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] | p | So for the first part, for the model, I will give you some quick info about how we build it. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,897 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(24) | [
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"blog",
"blog/semantic-search-vector-database"
] | 12,898 |
[
"Superpower your Semantic Search using Vector Database - Nicolas Mauti | Vector Space Talks - Qdrant",
"Transcript:"
] | /blog/semantic-search-vector-database/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(24) | [
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] | p | So the data scientist started from an e five model. | [
"blog",
"blog/semantic-search-vector-database"
] | 12,899 |
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