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[
"Vector Space Talks - Qdrant",
"Transcript:"
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[
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[
"Vector Space Talks - Qdrant",
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] | /tags/vector-space-talks/ | 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(69) | [
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] | p | So it’s really the way, it’s really a product problem rather than an algorithm problem, an algorithmic problem, yeah. | [
"tags",
"tags/vector-space-talks"
] | 12,003 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
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] | p | Yeah, makes sense. | [
"tags",
"tags/vector-space-talks"
] | 12,006 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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[
"Vector Space Talks - Qdrant",
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[
"Vector Space Talks - Qdrant",
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"tags",
"tags/vector-space-talks"
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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[
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[
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(72) | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(72) | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(72) | [
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[
"Vector Space Talks - Qdrant",
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(73) | [
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[
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] | p | Yeah, because I think that’s another really incredibly hard problem is like, oh yeah, we’re just sending all this sensitive information over to the IDA model to create embeddings with it. | [
"tags",
"tags/vector-space-talks"
] | 12,022 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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] | p | And then we also pass it through Chat GPT before we get it back. | [
"tags",
"tags/vector-space-talks"
] | 12,023 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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] | p | And next thing you know, that is the data that was used to train GPT five. | [
"tags",
"tags/vector-space-talks"
] | 12,024 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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"tags",
"tags/vector-space-talks"
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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"tags",
"tags/vector-space-talks"
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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 Talks - Qdrant",
"Transcript:"
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[
"Vector Space Talks - Qdrant",
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[
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] | p | So it’s quite a good workaround. | [
"tags",
"tags/vector-space-talks"
] | 12,030 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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] | p | And when you have to work with different level of security, if you deal with PII, a good way is to play with metadata. | [
"tags",
"tags/vector-space-talks"
] | 12,031 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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] | p | Depending on the security level of the person who has the question, you play with the metadata to output only some kind of documents. | [
"tags",
"tags/vector-space-talks"
] | 12,032 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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 Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(76) | [
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[
"Vector Space Talks - Qdrant",
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[
"Vector Space Talks - Qdrant",
"Transcript:"
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] | p | No, sorry, I was about to conclude anyway. | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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] | p | So just to wrap it up, so we got some good models without any fine tuning. | [
"tags",
"tags/vector-space-talks"
] | 12,040 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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[
"Vector Space Talks - Qdrant",
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[
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] | p | There’s no really any other way to overcome it otherwise. | [
"tags",
"tags/vector-space-talks"
] | 12,043 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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] | p | While for tech search, fine tuning is not really necessary, it’s more like tricks which are required about using eBrid search, using better models, et cetera. | [
"tags",
"tags/vector-space-talks"
] | 12,044 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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",
"tags/vector-space-talks"
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[
"Vector Space Talks - Qdrant",
"Transcript:"
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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 Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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] | p | You can even also use it in memory for CI integration and stuff. | [
"tags",
"tags/vector-space-talks"
] | 12,048 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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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"tags",
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[
"Vector Space Talks - Qdrant",
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] | /tags/vector-space-talks/ | 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 Talks - Qdrant",
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"tags",
"tags/vector-space-talks"
] | 12,051 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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 Talks - Qdrant",
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"Vector Space Talks - Qdrant",
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[
"Vector Space Talks - Qdrant",
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"tags",
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(79) | [
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[
"Vector Space Talks - Qdrant",
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] | p | So by the way, we went into a small trap. | [
"tags",
"tags/vector-space-talks"
] | 12,059 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(79) | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(79) | [
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] | p | So you may not retrieve the good vectors that you need. | [
"tags",
"tags/vector-space-talks"
] | 12,063 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(79) | [
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] | p | So it’s interesting thing to take into consideration. | [
"tags",
"tags/vector-space-talks"
] | 12,064 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(80) | [
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[
"Vector Space Talks - Qdrant",
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] | /tags/vector-space-talks/ | 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(80) | [
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"tags",
"tags/vector-space-talks"
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(80) | [
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] | p | And finally, as I was mentioning before, in my view, new types of models are needed to answer industrial needs. | [
"tags",
"tags/vector-space-talks"
] | 12,067 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(80) | [
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] | p | So the model we are talking about, tech guidance to make better image embeddings and automatic chunking, like some kind of algorithm and model which will automatically chunk your documents appropriately. | [
"tags",
"tags/vector-space-talks"
] | 12,068 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(80) | [
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] | p | So thank you very much. | [
"tags",
"tags/vector-space-talks"
] | 12,069 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(80) | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(80) | [
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] | p | Here are my social media. | [
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"tags/vector-space-talks"
] | 12,071 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(80) | [
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[
"Vector Space Talks - Qdrant",
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] | p | There is one question from Tom again, asking about if you did anything to handle images and tables within the documentation when you were doing those rags. | [
"tags",
"tags/vector-space-talks"
] | 12,075 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(82) | [
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[
"Vector Space Talks - Qdrant",
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(82) | [
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] | p | But for instance, we did a small pock for the medical company when he tried to integrate some external data source, which was a PDF, and we wanted to use it as an HTML to be able to display the HTML otherwise explained to you directly in the answer. | [
"tags",
"tags/vector-space-talks"
] | 12,080 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(82) | [
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] | p | So we did not include them in this case. | [
"tags",
"tags/vector-space-talks"
] | 12,083 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(83) | [
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] | p | Well, dude, thank you so much for coming on here. | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(83) | [
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] | p | And thank you all for joining us for yet another vector space talk. | [
"tags",
"tags/vector-space-talks"
] | 12,087 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(83) | [
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] | p | If you would like to come on to the vector space talk and share what you’ve been up to and drop some knowledge bombs on the rest of us, we’d love to have you. | [
"tags",
"tags/vector-space-talks"
] | 12,088 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(83) | [
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"tags",
"tags/vector-space-talks"
] | 12,089 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(83) | [
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] | p | And I think that is it for today. | [
"tags",
"tags/vector-space-talks"
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[
"Vector Space Talks - Qdrant",
"Transcript:"
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] | p | Noe, this was awesome, man. | [
"tags",
"tags/vector-space-talks"
] | 12,091 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(83) | [
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] | p | Thank you, Demetrius. | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(84) | [
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] | p | Have a nice day. | [
"tags",
"tags/vector-space-talks"
] | 12,095 |
[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(85) | [
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[
"Vector Space Talks - Qdrant",
"Transcript:"
] | /tags/vector-space-talks/ | 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(85) | [
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] | p | “We found a trade off between performance and precision in Qdrant’s that were better for us than what we can found on Elasticsearch.”– | [
"tags",
"tags/retriever-ranker-architecture"
] | 12,099 |
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