storage_size

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)

storage_size is The size of the index on disk..

36 facts·15 predicates·12 sources·4 in dispute

Mostly:rdf:type(12), defined as(2), measures(2)

Rdf:typein dispute`rdf:type`

Performance Metric^[1]all time · 7fe8a152 F4b0 4ead 886d 12532ab7dcc3
Performance Metric^[2]all time · 7962136c C338 4cc2 87ff Eaf945be2841
Performance Metric^[3]all time · 0e56e8f7 6bb5 47d4 Bd16 A0b896835d01
Performance Metric^[4]sourceall time · 692b18d5 3f23 4553 A43b Eff0a0815c04
Metric Category^[5]all time · 4faefe30 8af8 4236 991e D38816071e57
Resource Metric^[6]all time · D26a5287 Fb4f 4619 B610 Ba0ca857b51f
Metric^[7]all time · 1ff666a3 024a 43b9 A61b 238256feb9fd
Performance Metric^[8]all time · 4c0b780e 77bc 43f6 89c0 9fc02ba7ab53
Resource Metric^[9]sourceall time · 92df79b7 23d1 48bf B715 Dabb66f6c12b
Metric^[10]all time · 202a3697 E562 4fba Bbf7 Cecbb06b3cd0

Inbound mentions (30)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`isMeasuredOn`Is Measured on(6)

Annoy 1 18 0ex:Annoy-1-18-0
Faiss 1 7 3ex:Faiss-1-7-3
Hnswlib 0 9 2ex:Hnswlib-0-9-2
Milvus 2 3 0ex:Milvus-2-3-0
Qdrant 0 8 1ex:Qdrant-0-8-1
Weaviate 1 19 0ex:Weaviate-1-19-0

`measuredBy`Measured by(3)

Annoy 1 18 0ex:Annoy-1-18-0
Faiss 1 7 3ex:Faiss-1-7-3
Milvus 2 3 0ex:Milvus-2-3-0

`containsMetric`Contains Metric(2)

Additional Performance Metricsex:additional-performance-metrics
Additional Performance Metrics Sectionex:additional-performance-metrics-section

`correlatesWith`Correlates With(2)

Memory Usageex:memory-usage
Memory Usageex:memory-usage

`hasMember`Has Member(2)

9 Metricsex:9-metrics
Performance Metrics Categoryex:performance-metrics-category

`includesMetric`Includes Metric(2)

Vector Search Comparisonex:vector-search-comparison
Weaviate Evaluationex:weaviate-evaluation

`contains`Contains(1)

Metrics Listex:metrics-list

`containsElement`Contains Element(1)

Metricsex:metrics

`containsItem`Contains Item(1)

Key Performance Metricsex:key-performance-metrics

`hasColumn`Has Column(1)

Matrixex:matrix

`hasMetric`Has Metric(1)

Vector Search Librariesex:vector-search-libraries

`hasOrderedMember`Has Ordered Member(1)

Additional Performance Metrics Sectionex:additional-performance-metrics-section

`includes`Includes(1)

Performance Metricsex:performance-metrics

`includesStorageMetric`Includes Storage Metric(1)

Additional Performance Metricsex:additional-performance-metrics

`orderedSuggestion`Ordered Suggestion(1)

Assistantex:assistant

`sets`Sets(1)

Storage Size Calculationex:storage-size-calculation

`stores`Stores(1)

Results Dictionaryex:results-dictionary

`suggestedMetric`Suggested Metric(1)

Assistantex:assistant

`usesMetric`Uses Metric(1)

Vector Search Comparison Matrixex:vector-search-comparison-matrix

Other facts (16)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

16 facts

Predicate	Value	Ref
Defined As	size of the index on disk	[4]
Defined As	Size of the index on disk	[12]
Measures	Disk Footprint	[4]
Measures	Disk Space	[8]
Description	The size of the index on disk.	[3]
Ordinal Position	4	[4]
Quantifies Space	Disk Storage	[8]
Equals	Memory Usage	[10]
Inverse of	Has Storage Size	[11]
Has Unit	units	[11]
Correlates With	Memory Usage	[11]
Lower Is Better	true	[11]
Has Definition	Size of the index on disk	[12]
Has Markdown Heading	7. Storage Size	[12]
Has Ordinal Position	7	[12]
Is Last Metric	true	[12]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

36 undated

—

typebeam/7fe8a152-f4b0-4ead-886d-12532ab7dcc3

ex:PerformanceMetric

—

labelbeam/7fe8a152-f4b0-4ead-886d-12532ab7dcc3

storage_size

—

typebeam/7962136c-c338-4cc2-87ff-eaf945be2841

ex:PerformanceMetric

—

labelbeam/7962136c-c338-4cc2-87ff-eaf945be2841

storage_size

—

typebeam/0e56e8f7-6bb5-47d4-bd16-a0b896835d01

ex:PerformanceMetric

—

labelbeam/0e56e8f7-6bb5-47d4-bd16-a0b896835d01

Storage Size

—

descriptionbeam/0e56e8f7-6bb5-47d4-bd16-a0b896835d01

The size of the index on disk.

—

typebeam/692b18d5-3f23-4553-a43b-eff0a0815c04

ex:PerformanceMetric

—

labelbeam/692b18d5-3f23-4553-a43b-eff0a0815c04

Storage Size

—

definedAsbeam/692b18d5-3f23-4553-a43b-eff0a0815c04

size of the index on disk

—

measuresbeam/692b18d5-3f23-4553-a43b-eff0a0815c04

ex:disk-footprint

—

ordinalPositionbeam/692b18d5-3f23-4553-a43b-eff0a0815c04

—

typebeam/4faefe30-8af8-4236-991e-d38816071e57

ex:MetricCategory

—

labelbeam/4faefe30-8af8-4236-991e-d38816071e57

Storage Size

—

typebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f

ex:ResourceMetric

—

typebeam/1ff666a3-024a-43b9-a61b-238256feb9fd

ex:Metric

—

labelbeam/1ff666a3-024a-43b9-a61b-238256feb9fd

Storage Size

—

typebeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53

ex:PerformanceMetric

—

labelbeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53

Storage Size

—

measuresbeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53

ex:disk-space

—

quantifiesSpacebeam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53

ex:disk-storage

—

typebeam/92df79b7-23d1-48bf-b715-dabb66f6c12b

ex:ResourceMetric

—

equalsbeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0

ex:memory-usage

—

typebeam/202a3697-e562-4fba-bbf7-cecbb06b3cd0

ex:Metric

—

typebeam/4839e02a-4d69-40e5-9fd1-d54a40659285

ex:Metric

—

labelbeam/4839e02a-4d69-40e5-9fd1-d54a40659285

storage_size

—

inverseOfbeam/4839e02a-4d69-40e5-9fd1-d54a40659285

ex:hasStorageSize

—

hasUnitbeam/4839e02a-4d69-40e5-9fd1-d54a40659285

units

—

correlatesWithbeam/4839e02a-4d69-40e5-9fd1-d54a40659285

ex:memory-usage

—

lowerIsBetterbeam/4839e02a-4d69-40e5-9fd1-d54a40659285

true

—

typebeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

ex:PerformanceMetric

—

definedAsbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

Size of the index on disk

—

hasDefinitionbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

Size of the index on disk

—

hasMarkdownHeadingbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

7. **Storage Size**

—

hasOrdinalPositionbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

—

isLastMetricbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

true

References (12)

12 references

[1]7fe8a152 F4b0 4ead 886d 12532ab7dcc32 facts
ctx:claims/beam/7fe8a152-f4b0-4ead-886d-12532ab7dcc3
- full textbeam-chunk
  text/plain1 KBdoc:beam/7fe8a152-f4b0-4ead-886d-12532ab7dcc3
  Show excerpt
  8. **Ease of Integration**: How easy it is to integrate the database into your existing system. 9. **Community Support**: The level of community support and documentation available. 10. **Cost**: The financial cost associated with using the…
[2]7962136c C338 4cc2 87ff Eaf945be28412 facts
ctx:claims/beam/7962136c-c338-4cc2-87ff-eaf945be2841
- full textbeam-chunk
  text/plain1 KBdoc:beam/7962136c-c338-4cc2-87ff-eaf945be2841
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  matrix.loc['Annoy 1.18.0', 'memory_usage'] = 600 matrix.loc['Hnswlib 0.9.2', 'memory_usage'] = 580 matrix.loc['Qdrant 0.8.1', 'memory_usage'] = 520 matrix.loc['Weaviate 1.14.0', 'memory_usage'] = 560 matrix.loc['Milvus 2.3.0', 'storage_siz…
[3]0e56e8f7 6bb5 47d4 Bd16 A0b896835d013 facts
ctx:claims/beam/0e56e8f7-6bb5-47d4-bd16-a0b896835d01
- full textbeam-chunk
  text/plain1 KBdoc:beam/0e56e8f7-6bb5-47d4-bd16-a0b896835d01
  Show excerpt
  matrix.loc['Faiss 1.7.3', 'search_time'] = 200 matrix.loc['Annoy 1.18.0', 'search_time'] = 250 matrix.loc['Hnswlib 0.9.2', 'search_time'] = 220 matrix.loc['Qdrant 0.8.1', 'search_time'] = 190 matrix.loc['Weaviate 1.14.0', 'search_time'] = 2…
[4]692b18d5 3f23 4553 A43b Eff0a0815c045 facts
ctx:claims/beam/692b18d5-3f23-4553-a43b-eff0a0815c04
- full textbeam-chunk
  text/plain1 KBdoc:beam/692b18d5-3f23-4553-a43b-eff0a0815c04
  Show excerpt
  How can I expand this matrix to cover more performance metrics and make a more informed decision? ->-> 3,3 [Turn 2211] Assistant: To expand your comparison matrix and make a more informed decision about which sparse retrieval engine to use…
[5]4faefe30 8af8 4236 991e D38816071e572 facts
ctx:claims/beam/4faefe30-8af8-4236-991e-d38816071e57
- full textbeam-chunk
  text/plain1 KBdoc:beam/4faefe30-8af8-4236-991e-d38816071e57
  Show excerpt
  matrix.loc['Sparse Retrieval', 'storage_size'] = 900 matrix.loc['Faiss', 'storage_size'] = 1100 matrix.loc['Hnswlib', 'storage_size'] = 1050 matrix.loc['Qdrant', 'storage_size'] = 1150 matrix.loc['DPR', 'scalability'] = 0.9 matrix.loc['Den…
[6]D26a5287 Fb4f 4619 B610 Ba0ca857b51f1 fact
ctx:claims/beam/d26a5287-fb4f-4619-b610-ba0ca857b51f
- full textbeam-chunk
  text/plain1 KBdoc:beam/d26a5287-fb4f-4619-b610-ba0ca857b51f
  Show excerpt
  matrix.loc['Dense Passage Retriever', 'f1_score'] = .72 matrix.loc['Sparse Retrieval', 'f1_score'] = 0.92 matrix.loc['Faiss', 'f1_score'] = 0.62 matrix.loc['Hnswlib', 'f1_score'] = 0.82 matrix.loc['Qdrant', 'f1_score'] = 0.72 matrix.loc['D…
[7]1ff666a3 024a 43b9 A61b 238256feb9fd2 facts
ctx:claims/beam/1ff666a3-024a-43b9-a61b-238256feb9fd
- full textbeam-chunk
  text/plain1 KBdoc:beam/1ff666a3-024a-43b9-a61b-238256feb9fd
  Show excerpt
  matrix.loc['Weaviate 1.14.0', 'indexing_time'] = 360 matrix.loc['Milvus 2.3.0', 'memory_usage'] = 500 matrix.loc['Faiss 1.7.3', 'memory_usage'] = 550 matrix.loc['Annoy 1.18.0', 'memory_usage'] = 600 matrix.loc['Hnswlib 0.9.2', 'memory_usag…
[8]4c0b780e 77bc 43f6 89c0 9fc02ba7ab534 facts
ctx:claims/beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
- full textbeam-chunk
  text/plain1 KBdoc:beam/4c0b780e-77bc-43f6-89c0-9fc02ba7ab53
  Show excerpt
  matrix = pd.DataFrame(index=databases, columns=metrics) # Fill in the matrix with sample data matrix.loc['Milvus 2.3.0', 'search_time'] = 180 matrix.loc['Faiss 1.7.3', 'search_time'] = 200 matrix.loc['Annoy 1.18.0', 'search_time'] = 250 ma…
[9]92df79b7 23d1 48bf B715 Dabb66f6c12b1 fact
ctx:claims/beam/92df79b7-23d1-48bf-b715-dabb66f6c12b
- full textbeam-chunk
  text/plain884 Bdoc:beam/92df79b7-23d1-48bf-b715-dabb66f6c12b
  Show excerpt
  matrix.loc['Qdrant 0.8.1', 'security_features'] = 'Encryption, Access Control' matrix.loc['Weaviate 1.14.0', 'security_features'] = 'Encryption, Access Control' print(matrix) ``` ### Summary and Recommendation After filling in the matrix …
[10]202a3697 E562 4fba Bbf7 Cecbb06b3cd02 facts
ctx:claims/beam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
- full textbeam-chunk
  text/plain1 KBdoc:beam/202a3697-e562-4fba-bbf7-cecbb06b3cd0
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  # Simulate memory usage and storage size memory_usage = len(vectors) * 128 * 8 / (1024 * 1024) # in MB storage_size = memory_usage # Assuming similar size for simplicity results['memory_usage'] = memory_usage results['…
[11]4839e02a 4d69 40e5 9fd1 D54a406592856 facts
ctx:claims/beam/4839e02a-4d69-40e5-9fd1-d54a40659285
[12]E114b4a4 Ebc8 4ee1 A73e 5f2664d1e4bc6 facts
ctx:claims/beam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc
- full textbeam-chunk
  text/plain1 KBdoc:beam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc
  Show excerpt
  [Turn 2240] User: I'm trying to optimize my system architecture to support 5,000 concurrent queries with 99.85% uptime. I've been researching different technologies, including Weaviate 1.19.0, and I'm wondering if it would be a good fit for…

Keep researching

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storage_size

Rdf:typein disputerdf:type

Inbound mentions (30)

isMeasuredOnIs Measured on(6)

measuredByMeasured by(3)

containsMetricContains Metric(2)

correlatesWithCorrelates With(2)

hasMemberHas Member(2)

includesMetricIncludes Metric(2)

containsContains(1)

containsElementContains Element(1)

containsItemContains Item(1)

hasColumnHas Column(1)

hasMetricHas Metric(1)

hasOrderedMemberHas Ordered Member(1)

includesIncludes(1)

includesStorageMetricIncludes Storage Metric(1)

orderedSuggestionOrdered Suggestion(1)

setsSets(1)

storesStores(1)

suggestedMetricSuggested Metric(1)

usesMetricUses Metric(1)

Other facts (16)

Timeline

References (12)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`isMeasuredOn`Is Measured on(6)

`measuredBy`Measured by(3)

`containsMetric`Contains Metric(2)

`correlatesWith`Correlates With(2)

`hasMember`Has Member(2)

`includesMetric`Includes Metric(2)

`contains`Contains(1)

`containsElement`Contains Element(1)

`containsItem`Contains Item(1)

`hasColumn`Has Column(1)

`hasMetric`Has Metric(1)

`hasOrderedMember`Has Ordered Member(1)

`includes`Includes(1)

`includesStorageMetric`Includes Storage Metric(1)

`orderedSuggestion`Ordered Suggestion(1)

`sets`Sets(1)

`stores`Stores(1)

`suggestedMetric`Suggested Metric(1)

`usesMetric`Uses Metric(1)