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[
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"Impact of Oversampling"
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[
"Enhance OpenAI Embeddings with Qdrant's Binary Quantization - Qdrant",
"Leveraging Binary Quantization: Best Practices"
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[
"Enhance OpenAI Embeddings with Qdrant's Binary Quantization - Qdrant",
"Leveraging Binary Quantization: Best Practices"
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"articles",
"articles/binary-quantization-openai"
] | 243 |
[
"Enhance OpenAI Embeddings with Qdrant's Binary Quantization - Qdrant",
"Leveraging Binary Quantization: Best Practices"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant"
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"articles",
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[
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"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding"
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[
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] | p | When working with Qdrant, you can upsert all your data to a single collection, and then partition each vector via its payload. | [
"articles",
"articles/multitenancy"
] | 264 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"One collection, many tenants"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"One collection, many tenants"
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"articles",
"articles/multitenancy"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"One collection, many tenants"
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] | p | Figure 1: Each individual vector is assigned a specific payload that denotes which tenant it belongs to. | [
"articles",
"articles/multitenancy"
] | 267 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"One collection, many tenants"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(6) | [
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] | p | You should only create multiple collections when your data is not homogenous or if users’ vectors are created by different embedding models. | [
"articles",
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"One collection, many tenants"
] | /articles/multitenancy/ | 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/multitenancy"
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"One collection, many tenants"
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[
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Sharding your database"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Sharding your database"
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"Sharding your database"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Sharding your database"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Common use cases"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(11) | [
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"articles",
"articles/multitenancy"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Common use cases"
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"articles",
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[
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Common use cases"
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] | p | If you organize your shards by date, you can have great control over the recency of retrieved data. | [
"articles",
"articles/multitenancy"
] | 291 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Common use cases"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(13) | [
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] | p | This is relevant for social media platforms, which greatly rely on time-sensitive data. | [
"articles",
"articles/multitenancy"
] | 292 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(3) | [
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"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Before I go any further…..how secure is my user data?"
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"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Before I go any further…..how secure is my user data?"
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] | p | In this scenario, you will leverage payload-based isolation (from multitenancy) and resource-based isolation (from sharding). | [
"articles",
"articles/multitenancy"
] | 296 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Before I go any further…..how secure is my user data?"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(14) | [
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Before I go any further…..how secure is my user data?"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Before I go any further…..how secure is my user data?"
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] | p | Figure 3: Users can query the collection based on two filters: the group_id and the individual shard_key_selector. | [
"articles",
"articles/multitenancy"
] | 299 |
Subsets and Splits