search execution

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

search execution is Execute the search query.

54 facts·30 predicates·16 sources·10 in dispute

Mostly:rdf:type(11), uses(3), returns(3)

Rdf:typein dispute`rdf:type`

Operation Type^[1]all time · Df7c58f3 Fbec 47d0 9088 2916d03b14b6
Process Step^[3]all time · Adbf517e 1335 405d 8a65 Aca63a92c7f3
Search Step^[6]all time · D1235175 E1c4 4a66 A955 C9f6ddbcfd12
Query Operation^[7]all time · 9bef49d0 7623 4f5c 8e00 F769e885a383
Method Call^[8]all time · 5885d92f D822 4db1 Bdb7 D80fb7619783
Operation^[9]sourceall time · C93b6881 5a6a 4bbf Aa62 2ae736cd7046
Method Call^[10]all time · Fa7a8f4a C930 4a03 86e1 6781a85b10f1
Operational Action^[11]all time · B7c3a75f 2454 4270 9e06 Beac669c1ce3
Code Statement^[12]all time · B9918be2 2b15 444e 9276 0fb146c30ed2
Process Step^[13]all time · 2fcc4e7a D497 4bfa B889 84fb8a9dfe40

Inbound mentions (45)

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.

`precedes`Precedes(5)

Embedding Additionex:embedding-addition
Ground Truth Generationex:ground-truth-generation
Query Preparationex:query-preparation
Vector Insertionex:vector-insertion
Vectors Addingex:vectors-adding

`usedIn`Used in(5)

Body Parameterex:body-parameter
Clientex:client
Index Name Parameterex:index-name-parameter
Search Source Builderex:searchSourceBuilder
Synonyms Index Usageex:synonyms-index-usage

`hasStep`Has Step(4)

Elasticsearch Configuration to Searchex:elasticsearch-configuration-to-search
Index Construction Workflowex:index-construction-workflow
Process Sequenceex:process-sequence
Workflowex:workflow

`demonstrates`Demonstrates(3)

Code Block 2ex:code-block-2
Code Exampleex:code-example
Python Code Blockex:python-code-block

`assignedFrom`Assigned From(2)

Response Variableex:response-variable
Search Responseex:searchResponse

`causedBy`Caused by(2)

Print Outputex:print-output
Search Time Variableex:search-time-variable

`consistsOf`Consists of(2)

Basic Faiss Workflowex:basic-faiss-workflow
Processing Pipelineex:processing-pipeline

`describes`Describes(2)

Comment Search Executionex:comment-search-execution
Execute Commentex:execute-comment

`includes`Includes(2)

Complete Workflowex:complete-workflow
Query Phaseex:query-phase

`sequence`Sequence(2)

Benchmark Functionex:benchmark-function
Search Operationsex:search-operations

`step3`Step3(2)

Code Execution Flowex:code-execution-flow
Code Sequenceex:code-sequence

`addresses`Addresses(1)

Query Caching Stepex:query-caching-step

`contains`Contains(1)

Function Definitionex:function-definition

`fourthStep`Fourth Step(1)

Sequential Operationsex:sequential-operations

`includesStep`Includes Step(1)

Milvus Workflowex:milvus-workflow

`obtainedBy`Obtained by(1)

Response Instanceex:response-instance

`passedAsArgument`Passed As Argument(1)

Search Body Variableex:search-body-variable

`performs`Performs(1)

Search Functionex:search-function

`preconditionFor`Precondition for(1)

Query Preparationex:query-preparation

`prepares`Prepares(1)

Index Creationex:index-creation

`showsExecution`Shows Execution(1)

Elasticsearch Exampleex:elasticsearch-example

`step`Step(1)

Code Workflowex:code-workflow

`step5`Step5(1)

Code Execution Orderex:code-execution-order

`supports`Supports(1)

Elasticsearch Clientex:elasticsearch-client

`usedFor`Used for(1)

Client Objectex:client-object

Other facts (39)

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.

39 facts

Predicate	Value	Ref
Uses	Index Variable	[6]
Uses	Document Embeddings	[6]
Uses	Query Embedding	[6]
Returns	Response Instance	[8]
Returns	D	[13]
Returns	I	[13]
Precedes	Metric Computation	[5]
Precedes	Result Printing	[14]
Has Argument	Search Request	[8]
Has Argument	Default Options	[8]
Requires	Search Request	[8]
Requires	Default Options	[8]
Passes Argument	index_name	[10]
Passes Argument	search_body	[10]
Uses Method	Get Method	[12]
Uses Method	Search Method	[12]
Argument	np.array([vector])	[13]
Argument	k	[13]
Sequence Order	4	[2]
Executes	Search Implementation	[4]
Preceded by	Search Params Initialization	[4]
Enclosed by	With Statement	[5]
Performed by	Refine Indexing Logic Function	[6]
Method Name	search	[8]
Caused by	Set Source	[8]
Assigns Variable	response	[10]
Calls Method	es.search	[10]
Description	Execute the search query	[12]
Causes	Search Response	[12]
Commented As	Execute the search query	[12]
Chained With	Get Method	[12]
Method	index.search()	[13]
Calls	index.search()	[13]
Argument1	np.array([vector])	[13]
Argument2	k	[13]
Follows	Document Indexing	[15]
Is Instance	Search Operation	[15]
Depends on	Index Creation	[16]
Produces	Response Structure	[16]

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.

54 undated

—

typebeam/df7c58f3-fbec-47d0-9088-2916d03b14b6

ex:OperationType

—

sequenceOrderbeam/5278119f-c632-4b91-b193-f1e7bddf1e64

—

typebeam/adbf517e-1335-405d-8a65-aca63a92c7f3

ex:ProcessStep

—

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

ex:search-implementation

—

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

ex:search-params-initialization

—

precedesbeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:metric-computation

—

enclosedBybeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:with-statement

—

typebeam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12

ex:search-step

—

labelbeam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12

search execution

—

performedBybeam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12

ex:refine-indexing-logic-function

—

usesbeam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12

ex:index-variable

—

usesbeam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12

ex:document-embeddings

—

usesbeam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12

ex:query-embedding

—

typebeam/9bef49d0-7623-4f5c-8e00-f769e885a383

ex:QueryOperation

—

labelbeam/9bef49d0-7623-4f5c-8e00-f769e885a383

search execution

—

typebeam/5885d92f-d822-4db1-bdb7-d80fb7619783

ex:MethodCall

—

methodNamebeam/5885d92f-d822-4db1-bdb7-d80fb7619783

—

hasArgumentbeam/5885d92f-d822-4db1-bdb7-d80fb7619783

ex:search-request

—

hasArgumentbeam/5885d92f-d822-4db1-bdb7-d80fb7619783

ex:default-options

—

returnsbeam/5885d92f-d822-4db1-bdb7-d80fb7619783

ex:response-instance

—

causedBybeam/5885d92f-d822-4db1-bdb7-d80fb7619783

ex:set-source

—

requiresbeam/5885d92f-d822-4db1-bdb7-d80fb7619783

ex:searchRequest

—

requiresbeam/5885d92f-d822-4db1-bdb7-d80fb7619783

ex:default-options

—

typebeam/c93b6881-5a6a-4bbf-aa62-2ae736cd7046

ex:Operation

—

typebeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

ex:MethodCall

—

assignsVariablebeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

response

—

callsMethodbeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

es.search

—

passesArgumentbeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

index_name

—

passesArgumentbeam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1

search_body

—

typebeam/b7c3a75f-2454-4270-9e06-beac669c1ce3

ex:OperationalAction

—

labelbeam/b7c3a75f-2454-4270-9e06-beac669c1ce3

search query execution action

—

typebeam/b9918be2-2b15-444e-9276-0fb146c30ed2

ex:CodeStatement

—

descriptionbeam/b9918be2-2b15-444e-9276-0fb146c30ed2

Execute the search query

—

causesbeam/b9918be2-2b15-444e-9276-0fb146c30ed2

ex:searchResponse

—

commentedAsbeam/b9918be2-2b15-444e-9276-0fb146c30ed2

Execute the search query

—

usesMethodbeam/b9918be2-2b15-444e-9276-0fb146c30ed2

ex:get-method

—

usesMethodbeam/b9918be2-2b15-444e-9276-0fb146c30ed2

ex:search-method

—

chainedWithbeam/b9918be2-2b15-444e-9276-0fb146c30ed2

ex:get-method

—

typebeam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

ex:ProcessStep

—

methodbeam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

index.search()

—

argumentbeam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

np.array([vector])

—

argumentbeam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

—

callsbeam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

index.search()

—

argument1beam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

np.array([vector])

—

argument2beam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

—

returnsbeam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

ex:D

—

returnsbeam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40

ex:I

—

precedesbeam/1ff09d58-969c-42dc-bcbe-4edd4781d196

ex:result-printing

—

typebeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6

ex:Operation

—

labelbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6

search execution

—

followsbeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6

ex:document-indexing

—

isInstancebeam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6

ex:search-operation

—

dependsOnbeam/32482dcb-f293-412a-8ea0-a9dfc518165e

ex:index-creation

—

producesbeam/32482dcb-f293-412a-8ea0-a9dfc518165e

ex:response-structure

References (16)

16 references

[1]Df7c58f3 Fbec 47d0 9088 2916d03b14b61 fact
ctx:claims/beam/df7c58f3-fbec-47d0-9088-2916d03b14b6
- full textbeam-chunk
  text/plain1 KBdoc:beam/df7c58f3-fbec-47d0-9088-2916d03b14b6
  Show excerpt
  "number_of_shards": 5, "number_of_replicas": 1, "analysis": { "analyzer": { "default": { "type": "standard", " stopwords…
[2]5278119f C632 4b91 B193 F1e7bddf1e641 fact
ctx:claims/beam/5278119f-c632-4b91-b193-f1e7bddf1e64
- full textbeam-chunk
  text/plain1 KBdoc:beam/5278119f-c632-4b91-b193-f1e7bddf1e64
  Show excerpt
  # Calculate the similarity between the query vector and each vector in the database similarities = [np.dot(query_vector, vector) for vector in self.vectors] # Return the indices of the top 10 most similar vectors …
[3]Adbf517e 1335 405d 8a65 Aca63a92c7f31 fact
ctx:claims/beam/adbf517e-1335-405d-8a65-aca63a92c7f3
- full textbeam-chunk
  text/plain1 KBdoc:beam/adbf517e-1335-405d-8a65-aca63a92c7f3
  Show excerpt
  # Perform search results = search(COLLECTION_NAME, query_vector, TOP_K) print(results) ``` ### Explanation 1. **Collection Creation**: - `create_collection`: Creates a collection with specified parameters, including dimensi…
[4]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
  Show excerpt
  # 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['…
[5]Ab86a7b2 F677 45b2 B1d3 D2413153a4452 facts
ctx:claims/beam/ab86a7b2-f677-45b2-b1d3-d2413153a445
- full textbeam-chunk
  text/plain1 KBdoc:beam/ab86a7b2-f677-45b2-b1d3-d2413153a445
  Show excerpt
  ground_truth = generate_ground_truth(num_queries, num_relevant) with Timer() as timer: results = engine.search(test_data) total_duration += timer.duration total_throughput += num_queries…
[6]D1235175 E1c4 4a66 A955 C9f6ddbcfd126 facts
ctx:claims/beam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12
- full textbeam-chunk
  text/plain1 KBdoc:beam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12
  Show excerpt
  use_gpu = False # Set to True if you want to use GPU acceleration index = initialize_faiss_index(dim, use_gpu) # Generate random document embeddings and a query embedding document_embeddings = np.random.rand(200000, dim).astype('float32')…
[7]9bef49d0 7623 4f5c 8e00 F769e885a3832 facts
ctx:claims/beam/9bef49d0-7623-4f5c-8e00-f769e885a383
[8]5885d92f D822 4db1 Bdb7 D80fb76197838 facts
ctx:claims/beam/5885d92f-d822-4db1-bdb7-d80fb7619783
[9]C93b6881 5a6a 4bbf Aa62 2ae736cd70461 fact
ctx:claims/beam/c93b6881-5a6a-4bbf-aa62-2ae736cd7046
- full textbeam-chunk
  text/plain1 KBdoc:beam/c93b6881-5a6a-4bbf-aa62-2ae736cd7046
  Show excerpt
  solr = Solr('http://localhost:8983/solr/my_core') def search(solr, query): # Execute the search query results = solr.search(query) # Print the results for result in results: print(result) # Example usage: sear…
[10]Fa7a8f4a C930 4a03 86e1 6781a85b10f15 facts
ctx:claims/beam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1
- full textbeam-chunk
  text/plain876 Bdoc:beam/fa7a8f4a-c930-4a03-86e1-6781a85b10f1
  Show excerpt
  Here's an example of how you might perform real-time analytics using Elasticsearch: ```python from elasticsearch import Elasticsearch es = Elasticsearch() def search_with_aggregation(es, index_name, query): # Create a new search quer…
[11]B7c3a75f 2454 4270 9e06 Beac669c1ce32 facts
ctx:claims/beam/b7c3a75f-2454-4270-9e06-beac669c1ce3
- full textbeam-chunk
  text/plain1 KBdoc:beam/b7c3a75f-2454-4270-9e06-beac669c1ce3
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  PUT /_cluster/settings { "persistent": { "indices.queries.cache.enabled": true, "indices.queries.cache.size": "10%" } } ``` ### Step 3: Use Query Caching in Queries When executing queries, you can explicitly enable caching by …
[12]B9918be2 2b15 444e 9276 0fb146c30ed27 facts
ctx:claims/beam/b9918be2-2b15-444e-9276-0fb146c30ed2
[13]2fcc4e7a D497 4bfa B889 84fb8a9dfe409 facts
ctx:claims/beam/2fcc4e7a-d497-4bfa-b889-84fb8a9dfe40
[14]1ff09d58 969c 42dc Bcbe 4edd4781d1961 fact
ctx:claims/beam/1ff09d58-969c-42dc-bcbe-4edd4781d196
- full textbeam-chunk
  text/plain1 KBdoc:beam/1ff09d58-969c-42dc-bcbe-4edd4781d196
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  k = 1 # Number of nearest neighbors to retrieve distances, indices = index.search(query_vector.reshape(1, -1), k) print("Distances:", distances) print("Indices:", indices) ``` ### Explanation 1. **Dimensionality**: - Ensure the dimen…
[15]958b21c1 Ac2f 492c 9ace Ddc56b7f93f64 facts
ctx:claims/beam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6
[16]32482dcb F293 412a 8ea0 A9dfc518165e2 facts
ctx:claims/beam/32482dcb-f293-412a-8ea0-a9dfc518165e
- full textbeam-chunk
  text/plain1 KBdoc:beam/32482dcb-f293-412a-8ea0-a9dfc518165e
  Show excerpt
  'track_total_hits': True # Enable total hits tracking }) print(response['hits']['total']['value']) # Output: 1 ``` #### 4. Hardware and Resource Allocation - **Ensure Sufficient Resources**: Allocate enough CPU, memory, and disk spa…

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search execution

Rdf:typein disputerdf:type

Inbound mentions (45)

precedesPrecedes(5)

usedInUsed in(5)

hasStepHas Step(4)

demonstratesDemonstrates(3)

assignedFromAssigned From(2)

causedByCaused by(2)

consistsOfConsists of(2)

describesDescribes(2)

includesIncludes(2)

sequenceSequence(2)

step3Step3(2)

addressesAddresses(1)

containsContains(1)

fourthStepFourth Step(1)

includesStepIncludes Step(1)

obtainedByObtained by(1)

passedAsArgumentPassed As Argument(1)

performsPerforms(1)

preconditionForPrecondition for(1)

preparesPrepares(1)

showsExecutionShows Execution(1)

stepStep(1)

step5Step5(1)

supportsSupports(1)

usedForUsed for(1)

Other facts (39)

Timeline

References (16)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`precedes`Precedes(5)

`usedIn`Used in(5)

`hasStep`Has Step(4)

`demonstrates`Demonstrates(3)

`assignedFrom`Assigned From(2)

`causedBy`Caused by(2)

`consistsOf`Consists of(2)

`describes`Describes(2)

`includes`Includes(2)

`sequence`Sequence(2)

`step3`Step3(2)

`addresses`Addresses(1)

`contains`Contains(1)

`fourthStep`Fourth Step(1)

`includesStep`Includes Step(1)

`obtainedBy`Obtained by(1)

`passedAsArgument`Passed As Argument(1)

`performs`Performs(1)

`preconditionFor`Precondition for(1)

`prepares`Prepares(1)

`showsExecution`Shows Execution(1)

`step`Step(1)

`step5`Step5(1)

`supports`Supports(1)

`usedFor`Used for(1)