Step Create Collection
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Step Create Collection has 7 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:rdf:type(2), assigns variable(2), precedes(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
followsSequenceFollows Sequence(1)
- Python Script
ex:python-script
hasStepHas Step(1)
- Code Example
ex:code-example
includesStepIncludes Step(1)
- Milvus Workflow
ex:milvus-workflow
precedesPrecedes(1)
- Step Define Schema
ex:step-define-schema
Other facts (7)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Code Step | [1] |
| Rdf:type | Operation Step | [2] |
| Assigns Variable | Collection Name Variable | [1] |
| Assigns Variable | Collection Variable | [1] |
| Precedes | Step Create Index | [1] |
| Instantiate Class | Collection Class | [1] |
| Passes Schema | Schema Variable | [1] |
Timeline
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.
References (2)
ctx:claims/beam/c1884d4f-6cc0-42a1-9d04-1b18cb1f2a49- full textbeam-chunktext/plain1 KB
doc:beam/c1884d4f-6cc0-42a1-9d04-1b18cb1f2a49Show excerpt
# Connect to Milvus server connections.connect("default", host="localhost", port="19530") # Define schema fields = [ FieldSchema(name="id", dtype=DataType.INT64, is_primary=True), FieldSchema(name="vector", dtype=DataType.FLOAT_VEC…
ctx:claims/beam/eaf4690f-b473-4ddb-a331-5a3e658a880c- full textbeam-chunktext/plain1 KB
doc:beam/eaf4690f-b473-4ddb-a331-5a3e658a880cShow excerpt
```python from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection import numpy as np # Connect to Milvus connections.connect("default", host="localhost", port="19530") # Define the schema fields = [ Field…
See also
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