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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > 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. | [
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"tags/semantic-search"
] | 12,500 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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] | p | So let’s dig in today’s subjects. | [
"tags",
"tags/semantic-search"
] | 12,501 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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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. | [
"tags",
"tags/semantic-search"
] | 12,502 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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"tags",
"tags/semantic-search"
] | 12,503 |
[
"Semantic Search - Qdrant",
"Transcript:"
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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] | p | And so it will be a key point of our topics today. | [
"tags",
"tags/semantic-search"
] | 12,506 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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[
"Semantic Search - Qdrant",
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] | p | And so our goal at the end is to perform a match between these two entities. | [
"tags",
"tags/semantic-search"
] | 12,509 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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] | p | And so for that we add a matching app in production already. | [
"tags",
"tags/semantic-search"
] | 12,510 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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] | p | And so in fact, we had a major issue with this application is performance of this application because the application becomes very slow. | [
"tags",
"tags/semantic-search"
] | 12,511 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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[
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] | 12,515 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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] | p | And so if it takes too much time, you won’t be able to have that. | [
"tags",
"tags/semantic-search"
] | 12,516 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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"tags",
"tags/semantic-search"
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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] | p | And also this problem were amplified by the exponential growth of the platform. | [
"tags",
"tags/semantic-search"
] | 12,519 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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[
"Semantic Search - Qdrant",
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[
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"tags",
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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] | p | So it’s growing. | [
"tags",
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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[
"Semantic Search - Qdrant",
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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. | [
"tags",
"tags/semantic-search"
] | 12,527 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(20) | [
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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[
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] | p | For example, the question is hard rule at malt we have a local approach, and so we want to provide freelancers that are next to the project. | [
"tags",
"tags/semantic-search"
] | 12,532 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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"tags",
"tags/semantic-search"
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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] | p | And on the other side, as you said, demetrius, we are talking about Rexis system here. | [
"tags",
"tags/semantic-search"
] | 12,534 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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] | p | And so in a rexy system, you also have to take into account some other parameters, for example, the preferences of the freelancers and also the activity on the platform of the freelancer, for example. | [
"tags",
"tags/semantic-search"
] | 12,535 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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[
"Semantic Search - Qdrant",
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(21) | [
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[
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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] | p | Nicolas Mauti: | [
"tags",
"tags/semantic-search"
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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"tags",
"tags/semantic-search"
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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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. | [
"tags",
"tags/semantic-search"
] | 12,542 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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] | p | And then you can apply your wrong kill algorithm. | [
"tags",
"tags/semantic-search"
] | 12,543 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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[
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] | p | And on the other side, the ranking can contain more features, not only semantics, it less conference in time. | [
"tags",
"tags/semantic-search"
] | 12,546 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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] | p | And if your retrieval part is always giving you a fixed size of freelancers, your ranking doesn’t have to scale because you will always have the same number of freelancers in inputs. | [
"tags",
"tags/semantic-search"
] | 12,547 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(22) | [
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] | p | And this one is built for precision. | [
"tags",
"tags/semantic-search"
] | 12,548 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(23) | [
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] | p | So let’s focus on the first part. | [
"tags",
"tags/semantic-search"
] | 12,551 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(23) | [
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] | p | And so for that we will build this semantic space. | [
"tags",
"tags/semantic-search"
] | 12,554 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > 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. | [
"tags",
"tags/semantic-search"
] | 12,555 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(23) | [
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] | p | And after that you will have just to do a search and a KNN search for knee arrest neighbor search. | [
"tags",
"tags/semantic-search"
] | 12,556 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(23) | [
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[
"Semantic Search - Qdrant",
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] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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[
"Semantic Search - Qdrant",
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] | p | Keep this in mind, it will be interesting in our next slides. | [
"tags",
"tags/semantic-search"
] | 12,559 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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[
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[
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] | p | And on another side, you will have to have a tool to operate this semantic step page. | [
"tags",
"tags/semantic-search"
] | 12,562 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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] | p | So to store the vector and also to perform the search. | [
"tags",
"tags/semantic-search"
] | 12,563 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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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. | [
"tags",
"tags/semantic-search"
] | 12,564 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(24) | [
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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"tags",
"tags/semantic-search"
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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"tags",
"tags/semantic-search"
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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] | p | And as Malt is an european company, we have to have to model a multilingual model. | [
"tags",
"tags/semantic-search"
] | 12,570 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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] | p | And on top of that we built our own encoder model based on a transformer architecture. | [
"tags",
"tags/semantic-search"
] | 12,571 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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] | p | And so this model will be in charge to be adapted to Malchus case and to transform this very generic semantic space into a semantic space that is used for skills and jobs. | [
"tags",
"tags/semantic-search"
] | 12,572 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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"tags",
"tags/semantic-search"
] | 12,573 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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"tags",
"tags/semantic-search"
] | 12,574 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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"tags",
"tags/semantic-search"
] | 12,575 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(26) | [
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[
"Semantic Search - Qdrant",
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[
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] | p | And so we use that to train this model. | [
"tags",
"tags/semantic-search"
] | 12,578 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(26) | [
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] | p | And so at the end we get some embeddings with 384 dimensions. | [
"tags",
"tags/semantic-search"
] | 12,579 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(27) | [
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"tags",
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(27) | [
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] | p | One question from my side, sorry to stop you right now. | [
"tags",
"tags/semantic-search"
] | 12,581 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(27) | [
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] | p | Do you do any type of reviews or feedback and add that into the model? | [
"tags",
"tags/semantic-search"
] | 12,582 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(28) | [
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] | p | Nicolas Mauti: | [
"tags",
"tags/semantic-search"
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(28) | [
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[
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[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(28) | [
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"tags",
"tags/semantic-search"
] | 12,587 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(28) | [
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] | p | So now we have our model and if we want to see how it looks. | [
"tags",
"tags/semantic-search"
] | 12,588 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(28) | [
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] | p | So here I draw some ponds and color them by the category of our freelancer. | [
"tags",
"tags/semantic-search"
] | 12,589 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(28) | [
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] | p | So on the platform the freelancer can have category, for example tech or graphic or soon designer or this kind of category. | [
"tags",
"tags/semantic-search"
] | 12,590 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(28) | [
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] | p | And so we can see that our space seems to be well organized, where the tech freelancer are close to each other and the graphic designer for example, are far from the tech family. | [
"tags",
"tags/semantic-search"
] | 12,591 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(29) | [
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] | p | And so now we have a good model. | [
"tags",
"tags/semantic-search"
] | 12,594 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(29) | [
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] | p | So okay, now we have our model, we have to find a way to operate it, so to store this vector and to perform our search. | [
"tags",
"tags/semantic-search"
] | 12,595 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(29) | [
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] | p | And so for that, Vectordb seems to be the good candidate. | [
"tags",
"tags/semantic-search"
] | 12,596 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(29) | [
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"tags",
"tags/semantic-search"
] | 12,597 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(29) | [
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"tags",
"tags/semantic-search"
] | 12,598 |
[
"Semantic Search - Qdrant",
"Transcript:"
] | /tags/semantic-search/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(29) | [
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] | p | And so I will try to give you the criteria we had and why we choose Qdrant at the end. | [
"tags",
"tags/semantic-search"
] | 12,599 |
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