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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(74) | [
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] | p | And then we also pass it through Chat GPT before we get it back. | [
"tags",
"tags/vector-image-search"
] | 11,100 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(74) | [
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"tags",
"tags/vector-image-search"
] | 11,101 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(74) | [
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"tags",
"tags/vector-image-search"
] | 11,102 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(74) | [
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] | p | So it’s super sketchy, right? | [
"tags",
"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(75) | [
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] | 11,106 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(75) | [
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] | p | So it’s quite a good workaround. | [
"tags",
"tags/vector-image-search"
] | 11,107 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(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-image-search"
] | 11,108 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(75) | [
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(75) | [
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[
"Vector Image Search - Qdrant",
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[
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[
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[
"Vector Image Search - Qdrant",
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] | p | No, sorry, I was about to conclude anyway. | [
"tags",
"tags/vector-image-search"
] | 11,116 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(77) | [
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"tags",
"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(77) | [
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(77) | [
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] | p | For MS search, fine tuning is required at the moment. | [
"tags",
"tags/vector-image-search"
] | 11,119 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(77) | [
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"tags",
"tags/vector-image-search"
] | 11,120 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(77) | [
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"tags",
"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(77) | [
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"tags",
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(77) | [
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"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(78) | [
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[
"Vector Image Search - Qdrant",
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"tags",
"tags/vector-image-search"
] | 11,125 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(78) | [
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] | p | But since for all my experimentations, et cetera, I won’t use it as a disk file because it’s much easier to play with. | [
"tags",
"tags/vector-image-search"
] | 11,126 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(78) | [
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"tags",
"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(78) | [
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(78) | [
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[
"Vector Image Search - Qdrant",
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(78) | [
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[
"Vector Image Search - Qdrant",
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] | p | And I feel like in most cases, except if you have some security requirements, it will be much cheaper to use the managed deployments rather than paying dev costs. | [
"tags",
"tags/vector-image-search"
] | 11,132 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(79) | [
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[
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"tags",
"tags/vector-image-search"
] | 11,135 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(79) | [
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[
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"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(79) | [
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"tags",
"tags/vector-image-search"
] | 11,139 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(79) | [
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] | p | So you may not retrieve the good vectors that you need. | [
"tags",
"tags/vector-image-search"
] | 11,140 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(79) | [
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(80) | [
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[
"Vector Image Search - Qdrant",
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] | p | I know that metadata filtering is something quite hard to do for vector database, so I don’t really know how it works, but I assume there is a good reason for that. | [
"tags",
"tags/vector-image-search"
] | 11,143 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(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-image-search"
] | 11,144 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(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-image-search"
] | 11,145 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(80) | [
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"tags",
"tags/vector-image-search"
] | 11,146 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(80) | [
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"tags",
"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(80) | [
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(80) | [
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(81) | [
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[
"Vector Image Search - Qdrant",
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(81) | [
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(82) | [
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"tags",
"tags/vector-image-search"
] | 11,154 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(82) | [
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"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(82) | [
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(82) | [
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"tags",
"tags/vector-image-search"
] | 11,157 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(82) | [
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"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(82) | [
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(82) | [
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"tags/vector-image-search"
] | 11,160 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(83) | [
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(83) | [
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(83) | [
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[
"Vector Image Search - Qdrant",
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] | /tags/vector-image-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(83) | [
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] | p | And thank you all for joining us for yet another vector space talk. | [
"tags",
"tags/vector-image-search"
] | 11,164 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(83) | [
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"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(83) | [
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[
"Vector Image Search - Qdrant",
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] | p | And I think that is it for today. | [
"tags",
"tags/vector-image-search"
] | 11,167 |
[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(83) | [
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(83) | [
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(84) | [
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] | p | Have a nice day. | [
"tags",
"tags/vector-image-search"
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[
"Vector Image Search - Qdrant",
"Transcript:"
] | /tags/vector-image-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(85) | [
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"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks"
] | /blog/vector-image-search-rag/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > blockquote:nth-of-type(1) > p | [
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] | p | “I really think it’s something the technology is ready for and would really help this kind of embedding model jumping onto the text search projects.”– | [
"blog",
"blog/vector-image-search-rag"
] | 11,177 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks"
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks"
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"blog",
"blog/vector-image-search-rag"
] | 11,181 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks"
] | /blog/vector-image-search-rag/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(2) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,182 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks"
] | /blog/vector-image-search-rag/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(3) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks"
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"blog",
"blog/vector-image-search-rag"
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[
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[
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] | p | Discover the efficacy of Dino V2 in image representation and the complexities of deploying vector databases, while navigating the challenges of fine-tuning and data safety in sensitive fields. | [
"blog",
"blog/vector-image-search-rag"
] | 11,186 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Top Takeaways:"
] | /blog/vector-image-search-rag/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(5) | [
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] | p | In this episode, Noe, shares insights on vector search from image search to retrieval augmented generation, emphasizing practical application in complex projects. | [
"blog",
"blog/vector-image-search-rag"
] | 11,187 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Top Takeaways:"
] | /blog/vector-image-search-rag/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(6) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
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] | li | Cutting-edge Image Search: Learn about the advanced model Dino V2 and its efficacy in image representation, surpassing traditional feature transform methods. | [
"blog",
"blog/vector-image-search-rag"
] | 11,189 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Top Takeaways:"
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"blog",
"blog/vector-image-search-rag"
] | 11,190 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Top Takeaways:"
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[
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
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"blog/vector-image-search-rag"
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant"
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[
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] | p | 00:00 Relevant experience in vector DB projects and talks.05:57 Match image features, not resilient to changes.07:06 Compute crop vectors, and train to converge.11:37 Simple training task, improve with hard examples.15:25 Improving text embeddings using hard examples.22:29 Future of image embedding for document search.27:28 Efficient storage and retrieval process feature.29:01 Models handle varied data; sparse vectors now possible.35:59 Use memory, avoid disk for CI integration.37:43 Challenging metadata filtering for vector databases and new models | [
"blog",
"blog/vector-image-search-rag"
] | 11,196 |
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"blog",
"blog/vector-image-search-rag"
] | 11,197 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"More Quotes from Noé:"
] | /blog/vector-image-search-rag/ | html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(8) | [
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"blog",
"blog/vector-image-search-rag"
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"More Quotes from Noé:"
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] | p | So you can get an off the shelf model and get started very quickly and start bringing value very quickly without having to go through all the fine tuning processes.”– | [
"blog",
"blog/vector-image-search-rag"
] | 11,199 |
Subsets and Splits