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[
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] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > h2:nth-of-type(1) | [
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[
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[
"Storage - Qdrant",
"Configuring Memmap storage"
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] | p | This is the recommended way, in case your Qdrant instance operates with fast disks and you are working with large collections. | [
"documentation",
"documentation/concepts",
"documentation/concepts/storage"
] | 7,519 |
[
"Storage - Qdrant",
"Configuring Memmap storage"
] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(2) > li | [
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[
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] | li | The parameter is called memmap_threshold_kb. | [
"documentation",
"documentation/concepts",
"documentation/concepts/storage"
] | 7,524 |
[
"Storage - Qdrant",
"Configuring Memmap storage"
] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ol > li:nth-of-type(2) | [
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[
"Storage - Qdrant",
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[
"Storage - Qdrant",
"Configuring Memmap storage"
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] | li | if you have a balanced use scenario - set memmap threshold the same as indexing_threshold (default is 20000). | [
"documentation",
"documentation/concepts",
"documentation/concepts/storage"
] | 7,527 |
[
"Storage - Qdrant",
"Configuring Memmap storage"
] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(3) > li:nth-of-type(1) | [
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[
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[
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] | p | InMemory payload storage is organized in the same way as in-memory vectors. | [
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"documentation/concepts",
"documentation/concepts/storage"
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[
"Storage - Qdrant",
"Payload storage"
] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(16) | [
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] | p | The payload data is loaded into RAM at service startup while disk and RocksDB are used for persistence only. | [
"documentation",
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] | 7,536 |
[
"Storage - Qdrant",
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[
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"documentation/concepts/storage"
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[
"Storage - Qdrant",
"Payload storage"
] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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"documentation",
"documentation/concepts",
"documentation/concepts/storage"
] | 7,541 |
[
"Storage - Qdrant",
"Payload storage"
] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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] | p | In this scenario, we recommend creating a payload index for each field used in filtering conditions to avoid disk access. | [
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"documentation/concepts",
"documentation/concepts/storage"
] | 7,542 |
[
"Storage - Qdrant",
"Payload storage"
] | /documentation/concepts/storage/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(17) | [
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] | p | Once a change has been added to the WAL, it will not be lost even if a power loss occurs. | [
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[
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[
"Indexing - Qdrant",
"Indexing"
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] | p | Payload index in Qdrant is similar to the index in conventional document-oriented databases. | [
"documentation",
"documentation/concepts",
"documentation/concepts/indexing"
] | 7,561 |
[
"Indexing - Qdrant",
"Payload Index"
] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(4) | [
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[
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] | p | Creating an index requires additional computational resources and memory, so choosing fields to be indexed is essential. | [
"documentation",
"documentation/concepts",
"documentation/concepts/indexing"
] | 7,564 |
[
"Indexing - Qdrant",
"Payload Index"
] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(6) | [
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[
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] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(1) > li:nth-of-type(3) | [
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[
"Indexing - Qdrant",
"Payload Index"
] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(1) > li:nth-of-type(6) | [
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[
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[
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[
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[
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[
"Indexing - Qdrant",
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] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(2) > li:nth-of-type(4) | [
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[
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] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(2) > li:nth-of-type(4) | [
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[
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] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(2) > li:nth-of-type(4) | [
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] | p | Qdrant currently only uses HNSW as a dense vector index. | [
"documentation",
"documentation/concepts",
"documentation/concepts/indexing"
] | 7,598 |
[
"Indexing - Qdrant",
"Vector Index"
] | /documentation/concepts/indexing/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(18) | [
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] | p | HNSW (Hierarchical Navigable Small World Graph) is a graph-based indexing algorithm. | [
"documentation",
"documentation/concepts",
"documentation/concepts/indexing"
] | 7,599 |
Subsets and Splits