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[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(66) | [
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] | p | And we take in different parameters. | [
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[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(66) | [
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[
"Vector Space Talk - Qdrant",
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] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(66) | [
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"tags",
"tags/vector-space-talk"
] | 15,274 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
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] | p | So, yeah, this is how the diagram looks right now. | [
"tags",
"tags/vector-space-talk"
] | 15,275 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(66) | [
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[
"Vector Space Talk - Qdrant",
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"tags",
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[
"Vector Space Talk - Qdrant",
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] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(68) | [
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] | p | So yeah, that was also a limitation because it used to use a lot of compute capacity within the EC two instance as compared to Qdrant. | [
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[
"Vector Space Talk - Qdrant",
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] | p | Qdrant basically optimizes a lot using for the compute resources and this also helped us to scale the whole infrastructure in a really efficient manner. | [
"tags",
"tags/vector-space-talk"
] | 15,283 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
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[
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[
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[
"Vector Space Talk - Qdrant",
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[
"Vector Space Talk - Qdrant",
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[
"Vector Space Talk - Qdrant",
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] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(70) | [
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] | p | So the first working solution that we built was in around one and a half months and then from there onwards we have tried to iterate it to make it better and better. | [
"tags",
"tags/vector-space-talk"
] | 15,294 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
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[
"Vector Space Talk - Qdrant",
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] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(71) | [
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[
"Vector Space Talk - Qdrant",
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] | p | Do you have multiple language support for hotel names? | [
"tags",
"tags/vector-space-talk"
] | 15,299 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(71) | [
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] | p | Yes, we do have support for multiple languages and we do not do it using currently using the multilingual models because what we realized is the multilingual models are built on journal sentences and not based it is not trained on entities like names, hotel names and traveler names, et cetera. | [
"tags",
"tags/vector-space-talk"
] | 15,302 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
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[
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[
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] | p | What other transformers were considered for the evaluation? | [
"tags",
"tags/vector-space-talk"
] | 15,307 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(74) | [
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[
"Vector Space Talk - Qdrant",
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] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(74) | [
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[
"Vector Space Talk - Qdrant",
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] | p | Yeah, these were some of the models. | [
"tags",
"tags/vector-space-talk"
] | 15,310 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(75) | [
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[
"Vector Space Talk - Qdrant",
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"tags",
"tags/vector-space-talk"
] | 15,315 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
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[
"Vector Space Talk - Qdrant",
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"tags",
"tags/vector-space-talk"
] | 15,319 |
[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(77) | [
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"tags/vector-space-talk"
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[
"Vector Space Talk - Qdrant",
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[
"Vector Space Talk - Qdrant",
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] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(77) | [
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[
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] | p | This is super cool. | [
"tags",
"tags/vector-space-talk"
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[
"Vector Space Talk - Qdrant",
"Transcript:"
] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(77) | [
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[
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] | p | Anyone that’s listening, if you want to come onto the vector space talks, feel free to reach out to me and I’ll make it happen. | [
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[
"Vector Space Talk - Qdrant",
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[
"Vector Space Talk - Qdrant",
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] | p | This is really cool to see the different work that people are doing and how you all are evolving the game, man. | [
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[
"Vector Space Talk - Qdrant",
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] | /tags/vector-space-talk/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(78) | [
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[
"Vector Space Talk - Qdrant",
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[
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] | p | Nirant Kasliwal, AI Engineer at Qdrant joins us on Vector Space Talks to dive into FastEmbed, a lightning-quick method for generating embeddings. | [
"tags",
"tags/fastembed"
] | 15,345 |
[
"FastEmbed - Qdrant",
"Top Takeaways:"
] | /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(5) | [
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] | p | In this episode, Nirant shares insights, tips, and innovative ways to enhance embedding generation. | [
"tags",
"tags/fastembed"
] | 15,346 |
[
"FastEmbed - Qdrant",
"Top Takeaways:"
] | /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(6) | [
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] | li | Nirant introduces some hacker tricks for improving embedding models - you won’t want to miss these! | [
"tags",
"tags/fastembed"
] | 15,348 |
[
"FastEmbed - Qdrant",
"Top Takeaways:"
] | /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 > ol > li:nth-of-type(2) | [
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"tags",
"tags/fastembed"
] | 15,349 |
[
"FastEmbed - Qdrant",
"Top Takeaways:"
] | /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 > ol > li:nth-of-type(3) | [
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[
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"tags/fastembed"
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[
"FastEmbed - Qdrant",
"Top Takeaways:"
] | /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 > ol > li:nth-of-type(5) | [
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] | li | Find out how Fast Embed, a Python library created by Nirant, can solve common challenges in embedding creation and enhance the speed and efficiency of your workloads. | [
"tags",
"tags/fastembed"
] | 15,352 |
[
"FastEmbed - Qdrant",
"Top Takeaways:"
] | /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 > blockquote:nth-of-type(2) > p | [
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] | p | 00:00 Nirant discusses FastEmbed at Vector Space Talks.05:00 Tokens are expensive and slow in open air.08:40 FastEmbed is fast and lightweight.09:49 Supporting multimodal embedding is our plan.15:21 No findings. | [
"tags",
"tags/fastembed"
] | 15,355 |
[
"FastEmbed - Qdrant",
"Show Notes:"
] | /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(7) | [
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[
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] | p | Today we’ve got my man Nirant coming to us talking about FastEmbed. | [
"tags",
"tags/fastembed"
] | 15,371 |
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