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] | p | And we’ve got my man Nirant around here somewhere. | [
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] | p | Let me introduce you real fast before we get cracking. | [
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] | p | So without further ado, Nirant, my man, I’m going to kick it over to you and I am going to start it off with what are the challenges with embedding creation today? | [
"tags",
"tags/fastembed"
] | 15,391 |
[
"FastEmbed - Qdrant",
"Transcript:"
] | /tags/fastembed/ | 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(14) | [
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[
"FastEmbed - Qdrant",
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] | /tags/fastembed/ | 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(14) | [
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] | p | Now, what do we want to do though? | [
"tags",
"tags/fastembed"
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[
"FastEmbed - Qdrant",
"Transcript:"
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"tags",
"tags/fastembed"
] | 15,405 |
[
"FastEmbed - Qdrant",
"Transcript:"
] | /tags/fastembed/ | 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(15) | [
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] | p | And when we do that, what does that capture mean? | [
"tags",
"tags/fastembed"
] | 15,406 |
[
"FastEmbed - Qdrant",
"Transcript:"
] | /tags/fastembed/ | 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(15) | [
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[
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[
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] | p | So that’s almost like saying that every time I have to speak to you I start over with hello, I’m Nirant and I’m a human being. | [
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[
"FastEmbed - Qdrant",
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] | /tags/fastembed/ | 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(16) | [
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[
"FastEmbed - Qdrant",
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] | /tags/fastembed/ | 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(16) | [
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[
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[
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[
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[
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] | p | And let’s say this is all in tokens per second and the token is model specific. | [
"tags",
"tags/fastembed"
] | 15,442 |
[
"FastEmbed - Qdrant",
"Transcript:"
] | /tags/fastembed/ | 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 | So for instance, the way BGE would count a token might be different from how OpenAI might count a token because the tokenizers are slightly different and they have been trained on slightly different corporates. | [
"tags",
"tags/fastembed"
] | 15,443 |
[
"FastEmbed - Qdrant",
"Transcript:"
] | /tags/fastembed/ | 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 | So that’s the idea. | [
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] | p | Yeah, I would love it if you try it. | [
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] | p | So you will see a lot of these Embedding servers have really large image sizes. | [
"tags",
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[
"FastEmbed - Qdrant",
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] | /tags/fastembed/ | 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 | When I say image, I mean typically or docker image that can typically go to a few GPS. | [
"tags",
"tags/fastembed"
] | 15,469 |
[
"FastEmbed - Qdrant",
"Transcript:"
] | /tags/fastembed/ | 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 | For instance, in case of sentence transformers, which somebody’s checked out with Transformers the package and PyTorch, you get a docker image of roughly five GB. | [
"tags",
"tags/fastembed"
] | 15,470 |
[
"FastEmbed - Qdrant",
"Transcript:"
] | /tags/fastembed/ | 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 | The Ram consumption is not that high by the way. | [
"tags",
"tags/fastembed"
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