Hnsw Index

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

Hnsw Index

Rdf:type	Graph Based Index^[3]
Rdf:type	Hnsw Index^[1]
Has Parameter	Ef Construction^[5]
Has Parameter	Efconstruction Parameter^[8]
Rdfs:label	IndexHNSWFlat^[6]
Rdfs:label	HNSW^[3]
Created Using	Index Hnsw^[7]
Created Using	Index Hnsw Flat Constructor^[4]
Compared With	Ivf Pq Index^[2]
Compared With	Ivfpq Index^[5]
Alternative to	Faiss Index Ivfpq^[1]
Alternative to	Index Flat L2^[3]
Has Property	Construction Parameter^[7]
Has Property	Number of Links^[7]
Has Phase	Construction Phase^[5]
Has Phase	Search Phase^[5]

ex:hnsw-index

Hnsw Index has 75 facts recorded in Dontopedia across 9 references, with 9 live disagreements.

75 facts·49 predicates·9 sources·9 in dispute

Mostly:rdf:type(11), has parameter(8), rdfs:label(3)

Rdf:typein dispute`rdf:type`

Graph Based Index^[3]all time · 0f35b798 8b35 4770 Abf4 3d1bc1caf195
Hnsw Index^[1]all time · Aaea2d5a 2786 4bf1 840d 700a9d6307af
Hnsw Index^[7]all time · B81bf9d3 A669 43d9 8289 E9bbbd96847e
Index^[6]all time · 9080e26c 2d73 4ed8 801c D290a10ff5c0
Index Hnsw Flat^[2]all time · Ea1c880d 666a 428b 9f18 Ae4bdd751abe
Index Type^[3]all time · 0f35b798 8b35 4770 Abf4 3d1bc1caf195
Index Type^[4]all time · 4acac4d0 910b 4fa1 96b2 Afff0416f947
Index Type^[8]all time · B42513be 0688 405f 930a 67b6a556e65e
Vector Index Type^[9]all time · Df58a3ab 2df5 43d0 A3c7 D866e2d0138c
Vector Search Algorithm^[5]all time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9

Has Parameterin dispute`hasParameter`

Ef Construction^[5]sourceall time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9
Efconstruction Parameter^[8]sourceall time · B42513be 0688 405f 930a 67b6a556e65e
Ef Construction Variable^[4]sourceall time · 4acac4d0 910b 4fa1 96b2 Afff0416f947
Ef Search Variable^[4]sourceall time · 4acac4d0 910b 4fa1 96b2 Afff0416f947
M^[2]sourceall time · Ea1c880d 666a 428b 9f18 Ae4bdd751abe
M^[5]sourceall time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9
M Parameter^[8]sourceall time · B42513be 0688 405f 930a 67b6a556e65e
M Variable^[4]sourceall time · 4acac4d0 910b 4fa1 96b2 Afff0416f947

Rdfs:labelin dispute`rdfs:label`

IndexHNSWFlat^[6]all time · 9080e26c 2d73 4ed8 801c D290a10ff5c0
HNSW^[3]all time · 0f35b798 8b35 4770 Abf4 3d1bc1caf195
HNSW^[4]all time · 4acac4d0 910b 4fa1 96b2 Afff0416f947

Created Usingin dispute`createdUsing`

Index Hnsw^[7]sourceall time · B81bf9d3 A669 43d9 8289 E9bbbd96847e
Index Hnsw Flat Constructor^[4]sourceall time · 4acac4d0 910b 4fa1 96b2 Afff0416f947

Compared Within dispute`comparedWith`

Ivf Pq Index^[2]all time · Ea1c880d 666a 428b 9f18 Ae4bdd751abe
Ivfpq Index^[5]sourceall time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9

Alternative toin dispute`alternativeTo`

Faiss Index Ivfpq^[1]all time · Aaea2d5a 2786 4bf1 840d 700a9d6307af
Index Flat L2^[3]sourceall time · 0f35b798 8b35 4770 Abf4 3d1bc1caf195

Has Propertyin dispute`hasProperty`

Construction Parameter^[7]sourceall time · B81bf9d3 A669 43d9 8289 E9bbbd96847e
Number of Links^[7]all time · B81bf9d3 A669 43d9 8289 E9bbbd96847e
Search Parameter^[7]sourceall time · B81bf9d3 A669 43d9 8289 E9bbbd96847e

Has Phasein dispute`hasPhase`

Construction Phase^[5]all time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9
Search Phase^[5]all time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9

Has Methodin dispute`hasMethod`

Add Method^[5]sourceall time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9
Search Method^[5]sourceall time · 8e356af0 5214 4a1f 8615 F270ae5ec1c9

Optimized by`optimizedBy`

Thread Configuration^[7]sourceall time · B81bf9d3 A669 43d9 8289 E9bbbd96847e

Parameter M`parameterM`

M Parameter^[7]all time · B81bf9d3 A669 43d9 8289 E9bbbd96847e

Dimensionality`dimensionality`

128^[7]sourceall time · B81bf9d3 A669 43d9 8289 E9bbbd96847e

Inbound mentions (35)

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.

`specificTo`Specific to(4)

Ef Constructionex:efConstruction
Ef Searchex:efSearch
Example Fine Tuningex:example-fine-tuning
Mex:M

`appliesTo`Applies to(3)

Initial Setupex:initial-setup
Parameter Adjustmentex:parameter-adjustment
Strategy 3 Adjust Parametersex:strategy-3-adjust-parameters

`comparedWith`Compared With(2)

Ivf Pq Indexex:ivf-pq-index
Ivfpq Indexex:ivfpq-index

`isParameterOf`Is Parameter of(2)

Efconstruction Parameterex:efconstruction-parameter
M Parameterex:m-parameter

`operatesOn`Operates on(2)

Index Addex:index-add
Index Searchex:index-search

`uses`Uses(2)

Search Operationex:search-operation
Vector Additionex:vector-addition

`adjustableFor`Adjustable for(1)

Search Parametersex:search-parameters

`appliedTo`Applied to(1)

Parameter Tuningex:parameter-tuning

`assignedValue`Assigned Value(1)

Index Variableex:index-variable

`comparedTo`Compared to(1)

Ivfpq Indexex:ivfpq-index

`compares`Compares(1)

Comparison Intentex:comparison-intent

`configuresVectorIndex`Configures Vector Index(1)

Example Schema Definitionex:example-schema-definition

`containedIn`Contained in(1)

Vectorsex:vectors

`createdAfter`Created After(1)

Ivf Pq Indexex:ivf-pq-index

`demonstrates`Demonstrates(1)

Example Implementationex:example-implementation

`demonstratesUsageOf`Demonstrates Usage of(1)

Python Code Blockex:python-code-block

`describes`Describes(1)

Hnsw IndexHNSW index

`hasType`Has Type(1)

Index Objectex:index-object

`improvedBy`Improved by(1)

Search Performanceex:search-performance

`includes`Includes(1)

Advanced Indexing Techniquesex:advanced-indexing-techniques

`optimizes`Optimizes(1)

Thread Configurationex:thread-configuration

`providedBy`Provided by(1)

Balanceex:balance

`recommends`Recommends(1)

Index Type Selectionex:index-type-selection

`targets`Targets(1)

Ef Search Adjustmentex:efSearch-adjustment

`usedInIndex`Used in Index(1)

Vectorsex:vectors

`usedInSearch`Used in Search(1)

Query Vectorex:query_vector

Other facts (37)

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.

37 facts

Predicate	Value	Ref
Used for	High Dimensional Vector Data	[8]
Base Distance Metric	L2	[2]
Does Not Require Training	true	[2]
Has Sub Index	Hnsw	[2]
Created Before	Ivf Pq Index	[2]
Adjust Ef Search	32	[2]
Add Vectors	Vectors	[2]
Has Ef Search	Ef Search	[2]
Has Ef Construction	Ef Construction	[2]
Has M	M	[2]
Has Dimension	128	[2]
Trade Off	Accuracy Vs Speed	[5]
Compared to	Ivfpq Index	[4]
Full Form	Hierarchical Navigable Small World	[3]
Characteristic	Effective for High Dimensional Data	[3]
Instance of	Advanced Indexing Techniques	[3]
Effective for	High Dimensional Data	[3]
Provides	Balance	[3]
Index Category	approximate nearest neighbor search	[1]
Similarity Computation	cosine similarity via L2 normalization	[1]
Neighbor Count	32	[1]
Mf Parameter	32	[1]
Index Class	IndexHNSWFlat	[1]
Normalization Purpose	cosine similarity	[1]
Uses Normalization	faiss.normalize_L2	[1]
Index Type	approximate nearest neighbor	[1]
Search Parameter	k nearest neighbors	[1]
Search Method	index.search	[1]
Addition Method	index.add	[1]
Similarity Metric	cosine similarity	[1]
Normalization Method	faiss.normalize_L2	[1]
Number of Neighbors	32	[1]
Class Name	IndexHNSWFlat	[1]
Contains	Vectors	[6]
Parameter M	32	[6]
Parameter Dimensions	128	[6]
Created by	Faiss Index Constructor	[6]

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.

75 undated

—

additionMethodbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

index.add

—

addVectorsbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:vectors

—

adjustEfSearchbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

—

alternativeTobeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

ex:faiss-index-ivfpq

—

alternativeTobeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

ex:index-flat-l2

—

baseDistanceMetricbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:L2

—

characteristicbeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

ex:effective-for-high-dimensional-data

—

classNamebeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

IndexHNSWFlat

—

comparedTobeam/4acac4d0-910b-4fa1-96b2-afff0416f947

ex:ivfpq-index

—

comparedWithbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:ivf-pq-index

—

comparedWithbeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:ivfpq-index

—

containsbeam/9080e26c-2d73-4ed8-801c-d290a10ff5c0

ex:vectors

—

createdBeforebeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:ivf-pq-index

—

createdBybeam/9080e26c-2d73-4ed8-801c-d290a10ff5c0

ex:faiss-index-constructor

—

createdUsingbeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

ex:index-hnsw

—

createdUsingbeam/4acac4d0-910b-4fa1-96b2-afff0416f947

ex:index-hnsw-flat-constructor

—

dimensionalitybeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

128

—

doesNotRequireTrainingbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

true

—

effectiveForbeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

ex:high-dimensional-data

—

fullFormbeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

Hierarchical Navigable Small World

—

hasDimensionbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

128

—

hasEfConstructionbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:efConstruction

—

hasEfSearchbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:efSearch

—

hasMbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:M

—

hasMethodbeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:add-method

—

hasMethodbeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:search-method

—

hasParameterbeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:efConstruction

—

hasParameterbeam/b42513be-0688-405f-930a-67b6a556e65e

ex:efconstruction-parameter

—

hasParameterbeam/4acac4d0-910b-4fa1-96b2-afff0416f947

ex:ef-construction-variable

—

hasParameterbeam/4acac4d0-910b-4fa1-96b2-afff0416f947

ex:ef-search-variable

—

hasParameterbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:M

—

hasParameterbeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:M

—

hasParameterbeam/b42513be-0688-405f-930a-67b6a556e65e

ex:m-parameter

—

hasParameterbeam/4acac4d0-910b-4fa1-96b2-afff0416f947

ex:M-variable

—

hasPhasebeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:construction-phase

—

hasPhasebeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:search-phase

—

hasPropertybeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

ex:construction-parameter

—

hasPropertybeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

ex:number-of-links

—

hasPropertybeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

ex:search-parameter

—

hasSubIndexbeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:hnsw

—

indexCategorybeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

approximate nearest neighbor search

—

indexClassbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

IndexHNSWFlat

—

indexTypebeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

approximate nearest neighbor

—

instanceOfbeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

ex:advanced-indexing-techniques

—

mfParameterbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

—

neighborCountbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

—

normalizationMethodbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

faiss.normalize_L2

—

normalizationPurposebeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

cosine similarity

—

numberOfNeighborsbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

—

optimizedBybeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

ex:thread-configuration

—

parameter-dimensionsbeam/9080e26c-2d73-4ed8-801c-d290a10ff5c0

128

—

parameter-Mbeam/9080e26c-2d73-4ed8-801c-d290a10ff5c0

—

parameterMbeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

ex:M-parameter

—

providesbeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

ex:balance

—

labelbeam/9080e26c-2d73-4ed8-801c-d290a10ff5c0

IndexHNSWFlat

—

labelbeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

HNSW

—

labelbeam/4acac4d0-910b-4fa1-96b2-afff0416f947

HNSW

—

typebeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

ex:GraphBasedIndex

—

typebeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

ex:HNSWIndex

—

typebeam/b81bf9d3-a669-43d9-8289-e9bbbd96847e

ex:HNSWIndex

—

typebeam/9080e26c-2d73-4ed8-801c-d290a10ff5c0

ex:Index

—

typebeam/ea1c880d-666a-428b-9f18-ae4bdd751abe

ex:IndexHNSWFlat

—

typebeam/0f35b798-8b35-4770-abf4-3d1bc1caf195

ex:IndexType

—

typebeam/4acac4d0-910b-4fa1-96b2-afff0416f947

ex:IndexType

—

typebeam/b42513be-0688-405f-930a-67b6a556e65e

ex:IndexType

—

typebeam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c

ex:VectorIndexType

—

typebeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:VectorSearchAlgorithm

—

typebeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:VectorSearchIndex

—

searchMethodbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

index.search

—

searchParameterbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

k nearest neighbors

—

similarityComputationbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

cosine similarity via L2 normalization

—

similarityMetricbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

cosine similarity

—

tradeOffbeam/8e356af0-5214-4a1f-8615-f270ae5ec1c9

ex:accuracy-vs-speed

—

usedForbeam/b42513be-0688-405f-930a-67b6a556e65e

ex:high-dimensional-vector-data

—

usesNormalizationbeam/aaea2d5a-2786-4bf1-840d-700a9d6307af

faiss.normalize_L2

References (9)

9 references

[1]Aaea2d5a 2786 4bf1 840d 700a9d6307af17 facts
customctx:claims/beam/aaea2d5a-2786-4bf1-840d-700a9d6307af
[2]beam-chunk13 facts
customctx:claims/beam/ea1c880d-666a-428b-9f18-ae4bdd751abe
- full textbeam-chunk
  text/plain1 KBdoc:beam/ea1c880d-666a-428b-9f18-ae4bdd751abe
  Show excerpt
  index = faiss.IndexHNSWFlat(128, M) index.hnsw.efConstruction = efConstruction index.hnsw.efSearch = efSearch index.add(vectors) # Measure initial performance start_time = time.time() distances, indices = search_similar_vectors(query_vecto…
[3]beam-chunk9 facts
customctx:claims/beam/0f35b798-8b35-4770-abf4-3d1bc1caf195
- full textbeam-chunk
  text/plain1 KBdoc:beam/0f35b798-8b35-4770-abf4-3d1bc1caf195
  Show excerpt
  [Turn 1977] Assistant: To improve the efficiency of your vector similarity search using FAISS, you can leverage more advanced indexing techniques that reduce the computational complexity compared to the brute-force approach used by `IndexFl…
[4]beam-chunk7 facts
customctx:claims/beam/4acac4d0-910b-4fa1-96b2-afff0416f947
- full textbeam-chunk
  text/plain1 KBdoc:beam/4acac4d0-910b-4fa1-96b2-afff0416f947
  Show excerpt
  # Normalize the vectors for cosine similarity faiss.normalize_L2(vectors) # Create an HNSW index M = 16 # Number of links per node efConstruction = 200 # Number of neighbors to consider during construction efSearch = 64 # Number of neig…
[5]beam-chunk10 facts
customctx:claims/beam/8e356af0-5214-4a1f-8615-f270ae5ec1c9
- full textbeam-chunk
  text/plain1 KBdoc:beam/8e356af0-5214-4a1f-8615-f270ae5ec1c9
  Show excerpt
  - `efConstruction` and `efSearch` parameters control the construction and search phases, respectively. 2. **IVFPQ Index**: - `IndexIVFPQ`: Creates an IVFPQ index with a specified number of clusters (`nlist`), subquantizers (`m`), and…
[6]9080e26c 2d73 4ed8 801c D290a10ff5c06 facts
customctx:claims/beam/9080e26c-2d73-4ed8-801c-d290a10ff5c0
[7]beam-chunk8 facts
customctx:claims/beam/b81bf9d3-a669-43d9-8289-e9bbbd96847e
- full textbeam-chunk
  text/plain1 KBdoc:beam/b81bf9d3-a669-43d9-8289-e9bbbd96847e
  Show excerpt
  - **Distributed Indexing**: Use distributed indexing techniques to distribute the workload across multiple machines. - **Profiling**: Use profiling tools to measure the performance and identify bottlenecks. ### Alternative: Using `IndexHNS…
[8]beam-chunk4 facts
customctx:claims/beam/b42513be-0688-405f-930a-67b6a556e65e
- full textbeam-chunk
  text/plain1 KBdoc:beam/b42513be-0688-405f-930a-67b6a556e65e
  Show excerpt
  - **Index Type**: Choose an appropriate index type based on your use case. For example, `IVF_FLAT` or `HNSW` are commonly used for high-dimensional vector data. - **Index Parameters**: Tune the index parameters such as `nlist` for `IV…
[9]beam-chunk1 fact
customctx:claims/beam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
- full textbeam-chunk
  text/plain1 KBdoc:beam/df58a3ab-2df5-43d0-a3c7-d866e2d0138c
  Show excerpt
  .with_near_vector(near_vector_128) .with_limit(10) .do() ) print("Vector search query successful (size 128):") print(result_128) query_vector_256 = [0.5, 0.6, 0.7, 0.8] * 64 # Example query vector of size 256 near_vector_256 …

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Hnsw Index

Rdf:typein disputerdf:type

Has Parameterin disputehasParameter

Rdfs:labelin disputerdfs:label

Created Usingin disputecreatedUsing

Compared Within disputecomparedWith

Alternative toin disputealternativeTo

Has Propertyin disputehasProperty

Has Phasein disputehasPhase

Has Methodin disputehasMethod

Optimized byoptimizedBy

Parameter MparameterM

Dimensionalitydimensionality

Inbound mentions (35)

specificToSpecific to(4)

appliesToApplies to(3)

comparedWithCompared With(2)

isParameterOfIs Parameter of(2)

operatesOnOperates on(2)

usesUses(2)

adjustableForAdjustable for(1)

appliedToApplied to(1)

assignedValueAssigned Value(1)

comparedToCompared to(1)

comparesCompares(1)

configuresVectorIndexConfigures Vector Index(1)

containedInContained in(1)

createdAfterCreated After(1)

demonstratesDemonstrates(1)

demonstratesUsageOfDemonstrates Usage of(1)

describesDescribes(1)

hasTypeHas Type(1)

improvedByImproved by(1)

includesIncludes(1)

optimizesOptimizes(1)

providedByProvided by(1)

recommendsRecommends(1)

targetsTargets(1)

usedInIndexUsed in Index(1)

usedInSearchUsed in Search(1)

Other facts (37)

Timeline

References (9)

See also

Keep researching

Rdf:typein dispute`rdf:type`

Has Parameterin dispute`hasParameter`

Rdfs:labelin dispute`rdfs:label`

Created Usingin dispute`createdUsing`

Compared Within dispute`comparedWith`

Alternative toin dispute`alternativeTo`

Has Propertyin dispute`hasProperty`

Has Phasein dispute`hasPhase`

Has Methodin dispute`hasMethod`

Optimized by`optimizedBy`

Parameter M`parameterM`

Dimensionality`dimensionality`

`specificTo`Specific to(4)

`appliesTo`Applies to(3)

`comparedWith`Compared With(2)

`isParameterOf`Is Parameter of(2)

`operatesOn`Operates on(2)

`uses`Uses(2)

`adjustableFor`Adjustable for(1)

`appliedTo`Applied to(1)

`assignedValue`Assigned Value(1)

`comparedTo`Compared to(1)

`compares`Compares(1)

`configuresVectorIndex`Configures Vector Index(1)

`containedIn`Contained in(1)

`createdAfter`Created After(1)

`demonstrates`Demonstrates(1)

`demonstratesUsageOf`Demonstrates Usage of(1)

`describes`Describes(1)

`hasType`Has Type(1)

`improvedBy`Improved by(1)

`includes`Includes(1)

`optimizes`Optimizes(1)

`providedBy`Provided by(1)

`recommends`Recommends(1)

`targets`Targets(1)

`usedInIndex`Used in Index(1)

`usedInSearch`Used in Search(1)