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"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So basically what was great is that Dino manages to understand all objects and close patterns without fine tuning. | [
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"blog/vector-image-search-rag"
] | 11,300 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(24) | [
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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"
] | 11,301 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(24) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,302 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(24) | [
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] | p | What I mean here is that we’re going to get a box of the object, and in this box there will be a very noisy background which may disturb the matching process. | [
"blog",
"blog/vector-image-search-rag"
] | 11,303 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(24) | [
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] | p | And since Dino really manages to focus on the object, that’s important on the image. | [
"blog",
"blog/vector-image-search-rag"
] | 11,304 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(24) | [
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] | p | It doesn’t really matter that we don’t segmentate perfectly the image. | [
"blog",
"blog/vector-image-search-rag"
] | 11,305 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(24) | [
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] | p | Regarding the vector database, this project started a while ago, and I think we chose the vector database something like a year and a half ago. | [
"blog",
"blog/vector-image-search-rag"
] | 11,306 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,307 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,308 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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] | p | And at the time, the most famous one was Milvos, the only famous one actually. | [
"blog",
"blog/vector-image-search-rag"
] | 11,309 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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] | p | And we went for an on premise development deployment. | [
"blog",
"blog/vector-image-search-rag"
] | 11,310 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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] | p | And actually our main learning is that the DevOps team really struggled to deploy it, because basically it’s made of a lot of pods. | [
"blog",
"blog/vector-image-search-rag"
] | 11,311 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/vector-image-search-rag"
] | 11,312 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,313 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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] | p | So the clients lost a lot of time and money in this deployment. | [
"blog",
"blog/vector-image-search-rag"
] | 11,314 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(25) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,317 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(26) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,318 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(26) | [
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] | p | So the trouser won’t exactly have the same shape. | [
"blog",
"blog/vector-image-search-rag"
] | 11,319 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(26) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,320 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(26) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,321 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(26) | [
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] | p | And then in the matching, instead of matching trouser, which looks similar, it will just match trouser where in the product picture the person will be working as well, which is not really what we want. | [
"blog",
"blog/vector-image-search-rag"
] | 11,322 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(26) | [
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] | p | And the other challenges we faced is that we tried to fine tune the model, but our first fine tuning wasn’t very good because we tried to take an open source model and, and get the labels it had, like on different furnitures, clothes, et cetera, to basically train a model to classify the different classes and then remove the classification layer to just keep the embedding parts. | [
"blog",
"blog/vector-image-search-rag"
] | 11,323 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(26) | [
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"blog",
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] | 11,324 |
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"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/vector-image-search-rag"
] | 11,325 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(27) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,326 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And at the end, the embeddings was not learning any very complex features, so it was not really improving it. | [
"blog",
"blog/vector-image-search-rag"
] | 11,327 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(27) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,328 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(27) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,329 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(27) | [
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] | p | So it’s where it kind of is interesting to level to then be able to fine tune your model and make it learn more complex things according to your tasks. | [
"blog",
"blog/vector-image-search-rag"
] | 11,330 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/vector-image-search-rag"
] | 11,331 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(27) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,332 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(27) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And concatenating all these scores together, you can get an embedding which you can put in a vector database for your vector search. | [
"blog",
"blog/vector-image-search-rag"
] | 11,336 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(28) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,337 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(28) | [
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] | p | And I really wonder how Google lens does because their algorithm work very well. | [
"blog",
"blog/vector-image-search-rag"
] | 11,338 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(28) | [
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] | p | So are they working more like with this kind of functioning or this kind of functioning? | [
"blog",
"blog/vector-image-search-rag"
] | 11,339 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(28) | [
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] | p | So if anyone had any thought on that or any idea, again, I’d be happy to talk about it afterwards. | [
"blog",
"blog/vector-image-search-rag"
] | 11,340 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(28) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,341 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(28) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,342 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(28) | [
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] | p | And how great would it be to have an image embeding you could guide with text. | [
"blog",
"blog/vector-image-search-rag"
] | 11,343 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(29) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,344 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(29) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,345 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(29) | [
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"blog",
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] | 11,346 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(29) | [
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] | p | I really feel like with the current state of the arts we are able to do this. | [
"blog",
"blog/vector-image-search-rag"
] | 11,347 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(29) | [
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] | p | I mean, we need to do it, but the technology is ready. | [
"blog",
"blog/vector-image-search-rag"
] | 11,348 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(30) | [
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"blog",
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] | 11,349 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(30) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,350 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(31) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/vector-image-search-rag"
] | 11,354 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(33) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,355 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(33) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,356 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(34) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(34) | [
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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",
"Transcript:"
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(35) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,363 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(35) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,364 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(35) | [
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"blog",
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(36) | [
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] | p | And then on the next slide where you talked about things you would do differently, or the last slide, I guess the areas of improvement you mentioned label hard examples for fine tuning. | [
"blog",
"blog/vector-image-search-rag"
] | 11,367 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(36) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,368 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(36) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,369 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(37) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(37) | [
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"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/vector-image-search-rag"
] | 11,373 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(39) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So tensorboard embeddings is a good tool for that. | [
"blog",
"blog/vector-image-search-rag"
] | 11,376 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(39) | [
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] | p | I could actually demo it afterwards. | [
"blog",
"blog/vector-image-search-rag"
] | 11,377 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(40) | [
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"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | 11,379 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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"blog",
"blog/vector-image-search-rag"
] | 11,380 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | 11,381 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So basically you have an embedding of like 1000 dimensions and it just reduces it to free dimensions. | [
"blog",
"blog/vector-image-search-rag"
] | 11,384 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(41) | [
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] | p | And so you can visualize it in a 3d space and you can see how close your embeddings are from each other. | [
"blog",
"blog/vector-image-search-rag"
] | 11,385 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(42) | [
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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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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | Yeah, okay, I see. | [
"blog",
"blog/vector-image-search-rag"
] | 11,391 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(45) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(45) | [
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[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | Yeah, I think that sounds like what I’m talking about. | [
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"blog/vector-image-search-rag"
] | 11,395 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(46) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,396 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
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] | p | And you’re shooting me straight on it. | [
"blog",
"blog/vector-image-search-rag"
] | 11,397 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(46) | [
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] | p | Mike is asking a question in here, like text embedding, would that allow you to include an image with alternate text? | [
"blog",
"blog/vector-image-search-rag"
] | 11,398 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
] | /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(47) | [
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Subsets and Splits