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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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] | p | So I decided to use and try out sentence transformers for my use case, and that was the encoding bit. | [
"tags",
"tags/llm-recommendation-system"
] | 16,773 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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] | p | So we have the model, we encode the text, and we have the embedding. | [
"tags",
"tags/llm-recommendation-system"
] | 16,774 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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] | p | So now the question is, how do we actually generate the recommendations? | [
"tags",
"tags/llm-recommendation-system"
] | 16,775 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,776 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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] | p | There were multiple ways of doing this. | [
"tags",
"tags/llm-recommendation-system"
] | 16,778 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(24) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(24) | [
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[
"LLM Recommendation System - Qdrant",
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(24) | [
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[
"LLM Recommendation System - Qdrant",
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(25) | [
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"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(25) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(25) | [
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] | p | So one popular kind of index architecture is this one here on the left. | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(25) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(25) | [
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] | p | So the idea here is that you wouldn’t have to kind of go through all of the examples, but search through the examples in different layers, so that the search for similarities quicker. | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(25) | [
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"tags",
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(25) | [
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] | p | And Qdrant have done a really good customizable version of this, which is quite useful, I think, for very larger scales of application. | [
"tags",
"tags/llm-recommendation-system"
] | 16,790 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
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] | p | And this graph here illustrates kind of well what the idea is. | [
"tags",
"tags/llm-recommendation-system"
] | 16,791 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,794 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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] | p | So in my case, this sentence is the song description, the neural network is the sentence transformer in my case. | [
"tags",
"tags/llm-recommendation-system"
] | 16,795 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,796 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,797 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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] | p | And the quick screenshot looks like this. | [
"tags",
"tags/llm-recommendation-system"
] | 16,799 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(26) | [
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"tags",
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(27) | [
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[
"LLM Recommendation System - Qdrant",
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] | p | And these are the top five suggested songs. | [
"tags",
"tags/llm-recommendation-system"
] | 16,802 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(27) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(27) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,804 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(27) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,805 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(27) | [
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] | p | So yeah, I tried this, it worked. | [
"tags",
"tags/llm-recommendation-system"
] | 16,806 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(27) | [
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] | p | I will try live demo bit later. | [
"tags",
"tags/llm-recommendation-system"
] | 16,807 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(27) | [
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] | p | Hopefully it works again. | [
"tags",
"tags/llm-recommendation-system"
] | 16,808 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(27) | [
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] | p | But this is in beta currently so you won’t be able to try it at home because Spotify needs to approve my app first and go through that process so that then I can do this part fully. | [
"tags",
"tags/llm-recommendation-system"
] | 16,809 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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] | p | And the front end bit, as I mentioned, was done in Streamlit. | [
"tags",
"tags/llm-recommendation-system"
] | 16,811 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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] | p | So why Streamlit? | [
"tags",
"tags/llm-recommendation-system"
] | 16,812 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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] | p | I like the caching bit. | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(28) | [
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[
"LLM Recommendation System - Qdrant",
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] | p | But this caching options that they have help a lot with like loading models from hugging face or if you’re loading models from somewhere, or if you’re loading different databases. | [
"tags",
"tags/llm-recommendation-system"
] | 16,815 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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] | p | So it was quite useful and quick to do these things and to be able to try things out quickly. | [
"tags",
"tags/llm-recommendation-system"
] | 16,818 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(28) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,819 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(29) | [
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"LLM Recommendation System - Qdrant",
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(29) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(29) | [
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] | p | Examples here with how I’ve used Qdrant for this, which was quite nice. | [
"tags",
"tags/llm-recommendation-system"
] | 16,823 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(29) | [
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"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(29) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(29) | [
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] | p | So if the number of songs keep increasing it’s quite good. | [
"tags",
"tags/llm-recommendation-system"
] | 16,826 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(29) | [
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[
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(30) | [
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"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(30) | [
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] | p | So a lot more to be done. | [
"tags",
"tags/llm-recommendation-system"
] | 16,831 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(30) | [
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] | p | So now there are 2000 songs, but as I’ve mentioned, in this vector space, the more songs that are there, the more representative this recommendations would be. | [
"tags",
"tags/llm-recommendation-system"
] | 16,832 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(30) | [
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] | p | So this is something I’m currently exploring and doing, generating, filtering and user specific personalization. | [
"tags",
"tags/llm-recommendation-system"
] | 16,833 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(30) | [
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] | p | So once maybe you log in with Spotify, you could get recommendations related to your taste on Spotify or on whatever app you listen your music on. | [
"tags",
"tags/llm-recommendation-system"
] | 16,834 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(30) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(30) | [
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[
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"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(31) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(31) | [
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] | p | But I’ve explored Qdrant and as I said with Spotify web API there are a lot of things to be done with this specific user created recommendations. | [
"tags",
"tags/llm-recommendation-system"
] | 16,839 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(31) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(31) | [
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] | p | So I wrote a bit of code. | [
"tags",
"tags/llm-recommendation-system"
] | 16,842 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(31) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,843 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(31) | [
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] | p | So for my use case here, as you can see on the right, I just read the text from a column and then I encode with the model. | [
"tags",
"tags/llm-recommendation-system"
] | 16,844 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(31) | [
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] | p | So the sentence transformer is the model that I encode with. | [
"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(31) | [
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] | p | And there is this collections that they’re so called in Qdrant that are kind of like this vector spaces that you can create and you can also do different things with them, which I think one of the more helpful ones is the payload one and the batch one. | [
"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,848 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,849 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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] | p | So maybe I want to filter by genres. | [
"tags",
"tags/llm-recommendation-system"
] | 16,850 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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] | p | I can add useful information to the vector embedding. | [
"tags",
"tags/llm-recommendation-system"
] | 16,851 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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] | p | So this is quite a cool feature that I’m planning on using. | [
"tags",
"tags/llm-recommendation-system"
] | 16,852 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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] | p | And another potential way of doing this and kind of combining things is using audio waves too, lyrics and descriptions and combining all of this as embeddings and then going through the similar process. | [
"tags",
"tags/llm-recommendation-system"
] | 16,853 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,854 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(32) | [
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] | p | And yeah, you also might have noticed that I’m a data scientist at Marks and Spencer and I just wanted to say that there are a lot of interesting ML and data related stuff going on there. | [
"tags",
"tags/llm-recommendation-system"
] | 16,855 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(33) | [
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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] | p | There is a lot going on with causal ML and yeah, the digital and tech department is quite well developed and I think it’s a fun place to explore if you’re interested in retail data science use cases. | [
"tags",
"tags/llm-recommendation-system"
] | 16,858 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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] | p | So yeah, thank you for your attention. | [
"tags",
"tags/llm-recommendation-system"
] | 16,859 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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] | p | I’ll try the demo. | [
"tags",
"tags/llm-recommendation-system"
] | 16,860 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,861 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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] | p | You can contact me on LinkedIn. | [
"tags",
"tags/llm-recommendation-system"
] | 16,862 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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"tags",
"tags/llm-recommendation-system"
] | 16,863 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(33) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(34) | [
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[
"LLM Recommendation System - Qdrant",
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] | p | A friend of mine said that that wasn’t a great name of a repo. | [
"tags",
"tags/llm-recommendation-system"
] | 16,866 |
[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(34) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(34) | [
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"tags",
"tags/llm-recommendation-system"
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[
"LLM Recommendation System - Qdrant",
"Transcript:"
] | /tags/llm-recommendation-system/ | 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(34) | [
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[
"LLM Recommendation System - Qdrant",
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] | /tags/llm-recommendation-system/ | 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(35) | [
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[
"LLM Recommendation System - Qdrant",
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] | p | I love dude, I got to say, when you said you can just automatically create the Spotify playlist, that made me. | [
"tags",
"tags/llm-recommendation-system"
] | 16,871 |
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