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"Handling the negatives only"
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[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"Handling the negatives only"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(31) | [
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"articles",
"articles/new-recommendation-api"
] | 1,207 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"Handling the negatives only"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(31) | [
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[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"Handling the negatives only"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(31) | [
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] | p | Still, both methods return different results, so they each have their place depending on the questions being asked and the datasets | [
"articles",
"articles/new-recommendation-api"
] | 1,211 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"Negatives only"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(33) | [
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"articles",
"articles/new-recommendation-api"
] | 1,216 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"Challenges with multimodality"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(34) | [
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[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"A single text query with negative example"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(38) | [
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] | p | On the other hand, our text queries are quite far from most of the image embeddings, but relatively close to some of them, so the | [
"articles",
"articles/new-recommendation-api"
] | 1,227 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"A single text query with negative example"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(38) | [
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[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"A single text query with negative example"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(38) | [
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"articles",
"articles/new-recommendation-api"
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[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"A single text query with negative example"
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] | p | However, if we mix positive text and negative image embeddings, the results of the best_score are overwhelmed by the negative samples, | [
"articles",
"articles/new-recommendation-api"
] | 1,230 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"A single text query with negative example"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(38) | [
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] | p | which are simply closer to the dataset embeddings. | [
"articles",
"articles/new-recommendation-api"
] | 1,231 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"A single text query with negative example"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(38) | [
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] | p | If you experience such a problem, the average_vector strategy might be a better | [
"articles",
"articles/new-recommendation-api"
] | 1,232 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"A single text query with negative example"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(38) | [
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[
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"Check out the demo"
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[
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] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(39) | [
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[
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"Check out the demo"
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] | p | which might be easily imported into any Qdrant instance. | [
"articles",
"articles/new-recommendation-api"
] | 1,240 |
[
"Deliver Better Recommendations with Qdrant’s new API - Qdrant",
"Check out the demo"
] | /articles/new-recommendation-api/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(39) | [
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"articles",
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[
"Vector Search as a dedicated service - Qdrant",
"Vector Search as a dedicated service"
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"articles",
"articles/dedicated-service"
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[
"Vector Search as a dedicated service - Qdrant",
"Vector Search as a dedicated service"
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"articles",
"articles/dedicated-service"
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"Vector Search as a dedicated service - Qdrant",
"Vector Search as a dedicated service"
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[
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[
"Vector Search as a dedicated service - Qdrant",
"Vector Search as a dedicated service"
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[
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"articles",
"articles/dedicated-service"
] | 1,267 |
[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(6) | [
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"articles",
"articles/dedicated-service"
] | 1,268 |
[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(6) | [
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[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
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"articles",
"articles/dedicated-service"
] | 1,270 |
[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(7) | [
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"articles",
"articles/dedicated-service"
] | 1,271 |
[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(8) | [
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] | p | What makes search engines different, and why vector DBs are built as search engines? | [
"articles",
"articles/dedicated-service"
] | 1,272 |
[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(9) | [
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[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > ul:nth-of-type(3) > li:nth-of-type(1) | [
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] | li | Search engines should guarantee low latency for queries, while the atomicity of updates is less important. | [
"articles",
"articles/dedicated-service"
] | 1,280 |
[
"Vector Search as a dedicated service - Qdrant",
"Each database vendor will sooner or later introduce vector capabilities. That will make every database a Vector Database."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > ul:nth-of-type(3) > li:nth-of-type(3) | [
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"articles",
"articles/dedicated-service"
] | 1,288 |
[
"Vector Search as a dedicated service - Qdrant",
"Having a dedicated vector database requires duplication of data."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(13) | [
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"Having a dedicated vector database requires duplication of data."
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"Having a dedicated vector database requires duplication of data."
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"Vector Search as a dedicated service - Qdrant",
"Having a dedicated vector database requires duplication of data."
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[
"Vector Search as a dedicated service - Qdrant",
"Having a dedicated vector database requires duplication of data."
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] | p | In many cases, those isolated services are not even related to search use cases. | [
"articles",
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[
"Vector Search as a dedicated service - Qdrant",
"Having a dedicated vector database requires complex data synchronization."
] | /articles/dedicated-service/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(18) | [
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] | p | For example, databases for analytics and one for serving can be updated from the same source. | [
"articles",
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] | p | Search engines are usually isolated for the same reason: you want to avoid creating a noisy neighbor problem and compromise the performance of your main database. | [
"articles",
"articles/dedicated-service"
] | 1,299 |
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