setup_milvus.py

as donto believed on

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

setup_milvus.py has 97 facts recorded in Dontopedia across 1 reference, with 7 live disagreements.

97 facts·82 predicates·1 sources·7 in dispute

Mostly:execution sequence(6), has function(5), defines variable(2)

Other facts (96)

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.

96 facts

Predicate	Value	Ref
Execution Sequence	Step1 Connect	[1]
Execution Sequence	Step2 Define Schema	[1]
Execution Sequence	Step3 Create Collection	[1]
Execution Sequence	Step4 Insert Vectors	[1]
Execution Sequence	Step5 Build Index	[1]
Execution Sequence	Step6 Load Collection	[1]
Has Function	Connections	[1]
Has Function	Field Schema	[1]
Has Function	Collection Schema	[1]
Has Function	Data Type	[1]
Has Function	Collection	[1]
Defines Variable	Dim Variable	[1]
Defines Variable	Num Vectors Variable	[1]
Defines Field	Id Field	[1]
Defines Field	Embedding Field	[1]
Passes Named Argument	Name Argument	[1]
Passes Named Argument	Schema Argument	[1]
Calls Method	Create Index Method	[1]
Calls Method	Load Method	[1]
Instantiates Field Schema	Id Field	[1]
Instantiates Field Schema	Embedding Field	[1]
Rdf:type	Python Script	[1]
Has Import	Pymilvus	[1]
Has Connection	Milvus Default Connection	[1]
Defines Schema	My Collection Schema	[1]
Creates Collection	My Collection	[1]
Imports Module	Random	[1]
Defines Function	Generate Random Vector	[1]
Builds Index	Embedding Index	[1]
Loads Collection	My Collection	[1]
Uses Random Module	Random	[1]
Target Platform	Milvus Database	[1]
Provides Complete Workflow	true	[1]
Uses List Comprehension	true	[1]
Script Purpose	Milvus collection setup	[1]
Includes Data Generation	true	[1]
Includes Index Configuration	true	[1]
Includes Collection Loading	true	[1]
Uses Connections Module	Connections	[1]
Uses Collection Class	Collection	[1]
Defines Collection Name Variable	Collection Name Variable	[1]
Script Structure	sequential	[1]
Has No Error Handling	true	[1]
Has No Conditional Logic	true	[1]
Has No Loops	false	[1]
Uses Field Schema Class	Field Schema	[1]
Uses Data Type Enum	Data Type	[1]
Uses Collection Schema Class	Collection Schema	[1]
Passes Fields List	Fields Variable	[1]
Passes Description String	My Collection	[1]
Uses Random Random Function	Random Random	[1]
Uses Range Function	Range Function	[1]
Creates Dictionary Per Vector	true	[1]
Script Is Runnable	true	[1]
Requires Milvus Server	true	[1]
Runs on Python	true	[1]
Uses Fstring Syntax	false	[1]
Uses Docstring	false	[1]
Generates Vectors Using List Comprehension	true	[1]
Vector Generation Calls Function	Generate Random Vector	[1]
Vector Generation Iterates Range	1000000	[1]
Index Params Contains Index Type	IVF_FLAT	[1]
Index Params Contains Metric Type	L2	[1]
Index Params Contains N List	128	[1]
Index Type Is Ivf Flat	true	[1]
Metric Type Is L2	true	[1]
N List Value Is128	true	[1]
Embedding Field Dimension	128	[1]
Id Field Is Primary	true	[1]
Id Field Data Type	INT64	[1]
Embedding Field Data Type	FLOAT_VECTOR	[1]
Collection Name	my_collection	[1]
Schema Description	My Collection	[1]
Connection Host	localhost	[1]
Connection Port	19530	[1]
Connection Alias	default	[1]
Total Vectors Inserted	1000000	[1]
Vector Dimension	128	[1]
Index Created on Field	embedding	[1]
Collection Loaded	true	[1]
Script Ends After Load	true	[1]
Has No Return Statement	true	[1]
Has No Exception Handling	true	[1]
Imports Pymilvus	true	[1]
Imports Random	true	[1]
Defines Generate Random Vector Function	true	[1]
Function Takes Dimension Parameter	true	[1]
Function Returns List	true	[1]
Function Generates Random Floats	true	[1]
Creates Collection With Schema	true	[1]
Inserts Vectors in Batch	true	[1]
Builds Index After Insert	true	[1]
Loads Collection After Index	true	[1]
Uses Default Connection	true	[1]
Connects to Localhost	true	[1]
Uses Standard Port	true	[1]

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.

97 undated

—

typebeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:PythonScript

—

labelbeam/1e47faff-9001-4475-b47f-aee14dcc46af

setup_milvus.py

—

hasImportbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:pymilvus

—

hasFunctionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:connections

—

hasFunctionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:FieldSchema

—

hasFunctionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:CollectionSchema

—

hasFunctionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:DataType

—

hasFunctionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:Collection

—

hasConnectionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:milvus-default-connection

—

definesVariablebeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:dim-variable

—

definesFieldbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:id-field

—

definesFieldbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:embedding-field

—

definesSchemabeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:my-collection-schema

—

createsCollectionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:my-collection

—

importsModulebeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:random

—

definesFunctionbeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:generate-random-vector

—

definesVariablebeam/1e47faff-9001-4475-b47f-aee14dcc46af

ex:num-vectors-variable

—