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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:"
] | /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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[
"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(9) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,201 |
[
"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(9) | [
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] | p | “When using an API model, it’s much faster to use it in asynchronous mode like the embedding equation went something like ten times or 100 times faster. | [
"blog",
"blog/vector-image-search-rag"
] | 11,203 |
[
"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(10) | [
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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",
"More Quotes from Noé:"
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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(11) | [
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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(11) | [
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] | p | Great to have you here everyone. | [
"blog",
"blog/vector-image-search-rag"
] | 11,209 |
[
"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(11) | [
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] | p | We are back for another vector space talks and today we are joined by my man Noe, who is the lead data scientist at Sicara, and if you do not know, he is working on a wide range of projects, mostly related to computer vision. | [
"blog",
"blog/vector-image-search-rag"
] | 11,210 |
[
"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(11) | [
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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(11) | [
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] | p | And today we are talking about navigating the complexities of vector search. | [
"blog",
"blog/vector-image-search-rag"
] | 11,212 |
[
"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(11) | [
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] | p | We’re going to get some practical insights from diverse projects in image search and everyone’s favorite topic these days, retrieval augmented generation, aka rags. | [
"blog",
"blog/vector-image-search-rag"
] | 11,213 |
[
"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(11) | [
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] | p | So noe, I think you got something for us. | [
"blog",
"blog/vector-image-search-rag"
] | 11,214 |
[
"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(11) | [
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] | p | Yeah, I do. | [
"blog",
"blog/vector-image-search-rag"
] | 11,217 |
[
"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(12) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,218 |
[
"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(13) | [
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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 | All right, well, I’m very happy to have you on here, man. | [
"blog",
"blog/vector-image-search-rag"
] | 11,220 |
[
"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(13) | [
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] | p | I appreciate you doing this. | [
"blog",
"blog/vector-image-search-rag"
] | 11,221 |
[
"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(13) | [
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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(14) | [
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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",
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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"
] | 11,230 |
[
"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(16) | [
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] | p | Thank you, Demetrius, for the great introduction. | [
"blog",
"blog/vector-image-search-rag"
] | 11,231 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | I just completed quickly. | [
"blog",
"blog/vector-image-search-rag"
] | 11,232 |
[
"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(16) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,233 |
[
"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(16) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,234 |
[
"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(16) | [
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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 | Before being there, I worked at realtics on optical character recognition, and I’m now working mostly on, as you said, computer vision and also Gen AI. | [
"blog",
"blog/vector-image-search-rag"
] | 11,236 |
[
"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(16) | [
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] | p | So I’m leading the geni side and I’ve been there for more than three years. | [
"blog",
"blog/vector-image-search-rag"
] | 11,237 |
[
"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(17) | [
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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 some relevant experience on vector DB is why I’m here today, because I did four projects, four vector soft projects, and I also wrote an article on how to choose your database in 2023, your vector database. | [
"blog",
"blog/vector-image-search-rag"
] | 11,239 |
[
"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(17) | [
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] | p | And I did some related talks in other conferences like Pydata, DVC, all the geni meetups of London and Paris. | [
"blog",
"blog/vector-image-search-rag"
] | 11,240 |
[
"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(17) | [
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] | p | So what are we going to talk about today? | [
"blog",
"blog/vector-image-search-rag"
] | 11,241 |
[
"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(17) | [
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] | p | First, an overview of the vector search projects. | [
"blog",
"blog/vector-image-search-rag"
] | 11,242 |
[
"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(17) | [
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] | p | Just to give you an idea of the kind of projects we can do with vector search. | [
"blog",
"blog/vector-image-search-rag"
] | 11,243 |
[
"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(17) | [
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] | p | Then we will dive into the specificities of the image search project and then into the specificities of the text search project. | [
"blog",
"blog/vector-image-search-rag"
] | 11,244 |
[
"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(17) | [
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] | p | So here are the four projects. | [
"blog",
"blog/vector-image-search-rag"
] | 11,245 |
[
"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(17) | [
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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 a video. | [
"blog",
"blog/vector-image-search-rag"
] | 11,249 |
[
"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(18) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,250 |
[
"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(18) | [
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] | p | So like it can be a lamp, it can be a piece of clothes, anything, we classify it and then we compare it to a large selection of similar objects to retrieve the most similar one to a large collection of sellable objects. | [
"blog",
"blog/vector-image-search-rag"
] | 11,251 |
[
"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(18) | [
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] | p | The second one is about deduplicating real estate adverts. | [
"blog",
"blog/vector-image-search-rag"
] | 11,252 |
[
"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(18) | [
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] | p | So when agencies want to sell a property, like sometimes you have several agencies coming to take pictures of the same good. | [
"blog",
"blog/vector-image-search-rag"
] | 11,253 |
[
"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(18) | [
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] | p | So you have different pictures of the same good. | [
"blog",
"blog/vector-image-search-rag"
] | 11,254 |
[
"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(18) | [
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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 | I’ve seen that dude. | [
"blog",
"blog/vector-image-search-rag"
] | 11,257 |
[
"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(19) | [
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] | p | I have been a victim of that. | [
"blog",
"blog/vector-image-search-rag"
] | 11,258 |
[
"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(19) | [
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] | p | When I did a little house shopping back like five years ago, it would be the same house in many different ones, and sometimes you wouldn’t know because it was different photos. | [
"blog",
"blog/vector-image-search-rag"
] | 11,259 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So I love that you were thinking about it that way. | [
"blog",
"blog/vector-image-search-rag"
] | 11,260 |
[
"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(19) | [
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] | p | Sorry to interrupt. | [
"blog",
"blog/vector-image-search-rag"
] | 11,261 |
[
"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(20) | [
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] | p | Yeah, so to be fair, it was the idea of my client. | [
"blog",
"blog/vector-image-search-rag"
] | 11,263 |
[
"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(20) | [
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] | p | So basically I talk about it a bit later with aggregating all the adverts and trying to deduplicate them. | [
"blog",
"blog/vector-image-search-rag"
] | 11,264 |
[
"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(20) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,265 |
[
"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(20) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,266 |
[
"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(20) | [
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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 different kind of complexities. | [
"blog",
"blog/vector-image-search-rag"
] | 11,268 |
[
"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(20) | [
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] | p | So now we know all about this project, let’s dive into them. | [
"blog",
"blog/vector-image-search-rag"
] | 11,269 |
[
"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(20) | [
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] | p | So regarding the image search project, to compute representations of the images, the best performing model from the benchmark, and also from my experience, is currently Dino V two. | [
"blog",
"blog/vector-image-search-rag"
] | 11,270 |
[
"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(21) | [
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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(21) | [
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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:"
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"blog",
"blog/vector-image-search-rag"
] | 11,273 |
[
"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(21) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,274 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | So when I say best performing model, I’m talking about comparing to other architecture like Resnet efficient nets models, an approach I haven’t tried, which also seems interesting. | [
"blog",
"blog/vector-image-search-rag"
] | 11,275 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | If anyone tried it for similar project, please reach out afterwards. | [
"blog",
"blog/vector-image-search-rag"
] | 11,276 |
[
"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(21) | [
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] | p | I’ll be happy to talk about it. | [
"blog",
"blog/vector-image-search-rag"
] | 11,277 |
[
"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(21) | [
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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"
] | 11,281 |
[
"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(22) | [
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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",
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] | 11,283 |
[
"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"
] | 11,284 |
[
"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(22) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,285 |
[
"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(22) | [
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] | p | So it may not be very good as well for the second use case, but again, I haven’t tried it, so just leaving it here on the side. | [
"blog",
"blog/vector-image-search-rag"
] | 11,286 |
[
"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(22) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,287 |
[
"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(22) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,288 |
[
"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(23) | [
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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(23) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,290 |
[
"Vector Search Complexities: Insights from Projects in Image Search and RAG - Noé Achache | Vector Space Talks - Qdrant",
"Transcript:"
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] | p | And since they all represent the same image, they should all be the same. | [
"blog",
"blog/vector-image-search-rag"
] | 11,291 |
[
"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(23) | [
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] | p | So then you can compute a loss to see how they diverge and to basically train them to become the same. | [
"blog",
"blog/vector-image-search-rag"
] | 11,292 |
[
"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(23) | [
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] | p | So this is how it works and how it works. | [
"blog",
"blog/vector-image-search-rag"
] | 11,293 |
[
"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(23) | [
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] | p | And the difference between the second version is just that they use more data sets and the distillation method to have a very performant model, which is also very fast to run regarding the first use case. | [
"blog",
"blog/vector-image-search-rag"
] | 11,294 |
[
"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(23) | [
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] | p | So, matching objects in videos to sellable items for people who use Google lengths before, it’s quite similar, where in Google lens you can take a picture of something and then it will try to find similar objects to buy. | [
"blog",
"blog/vector-image-search-rag"
] | 11,295 |
[
"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(23) | [
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"blog",
"blog/vector-image-search-rag"
] | 11,296 |
[
"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(23) | [
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"blog",
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] | 11,297 |
[
"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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[
"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 | Now we’re going to try to analyze how this project went regarding the positive outcomes and the changes we faced. | [
"blog",
"blog/vector-image-search-rag"
] | 11,299 |
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