collection_name
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
collection_name has 17 facts recorded in Dontopedia across 8 references, with 3 live disagreements.
17 facts·7 predicates·8 sources·3 in dispute
Mostly:rdf:type(6), assigned value(2), variable type(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (13)
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.
hasParameterHas Parameter(8)
- Create Collection
ex:create_collection - Create Collection Method
ex:create_collection_method - Create Index
ex:create_index - Insert
ex:insert - Insert Method
ex:insert_method - Insert Vectors
ex:insert_vectors - Monitor Failures
ex:monitor_failures - Search
ex:search
createsIndexCreates Index(1)
- Code Snippet
ex:code-snippet
hasVariableHas Variable(1)
- Code Example
ex:CodeExample
passesArgumentPasses Argument(1)
- Search Execution Logic
ex:search_execution_logic
takesArgumentTakes Argument(1)
- Client.insert
ex:client.insert
variableVariable(1)
- Code Example
ex:CodeExample
Other facts (14)
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.
14 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Parameter | [1] |
| Rdf:type | Variable | [3] |
| Rdf:type | String | [4] |
| Rdf:type | String Variable | [5] |
| Rdf:type | String Variable | [6] |
| Rdf:type | Variable | [7] |
| Assigned Value | my_collection | [3] |
| Assigned Value | test_collection | [5] |
| Variable Type | string | [5] |
| Variable Type | String | [6] |
| Has Value | my_collection | [2] |
| Holds Value | test_collection | [5] |
| Value | test_collection | [6] |
| Passed to | Create Collection | [8] |
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.
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typebeam/c9a09541-20b6-4df2-98ea-6e8a37a4d449
ex:Parameter
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labelbeam/c9a09541-20b6-4df2-98ea-6e8a37a4d449
collection_name
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hasValuebeam/5275930e-3c1e-4324-9529-8baf059284f8
my_collection
—
typebeam/e3b6838b-6a19-4154-9393-f99b46aee265
ex:Variable
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assignedValuebeam/e3b6838b-6a19-4154-9393-f99b46aee265
my_collection
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typebeam/c585b037-7a7e-4288-9832-4ce9e2571d53
ex:String
—
labelbeam/c585b037-7a7e-4288-9832-4ce9e2571d53
collection_name
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typebeam/5a8ee5a7-e39c-486b-8ac0-78b88f8121dd
ex:StringVariable
—
labelbeam/5a8ee5a7-e39c-486b-8ac0-78b88f8121dd
collection_name
—
assignedValuebeam/5a8ee5a7-e39c-486b-8ac0-78b88f8121dd
test_collection
—
variableTypebeam/5a8ee5a7-e39c-486b-8ac0-78b88f8121dd
string
—
holdsValuebeam/5a8ee5a7-e39c-486b-8ac0-78b88f8121dd
test_collection
—
variableTypebeam/19d581bd-9e09-4819-ad3a-f497c9d8b02d
String
—
valuebeam/19d581bd-9e09-4819-ad3a-f497c9d8b02d
test_collection
—
typebeam/19d581bd-9e09-4819-ad3a-f497c9d8b02d
ex:StringVariable
—
typebeam/9bef49d0-7623-4f5c-8e00-f769e885a383
ex:Variable
—
passedTobeam/78884303-75a2-43c8-9f0e-a7c86b59303a
ex:create_collection
References (8)
8 references
ctx:claims/beam/c9a09541-20b6-4df2-98ea-6e8a37a4d449- full textbeam-chunktext/plain1 KB
doc:beam/c9a09541-20b6-4df2-98ea-6e8a37a4d449Show excerpt
Ensure that your Milvus server is running on optimized hardware and that the configuration settings are tuned for your workload. #### Example: - **Use SSDs:** Solid-state drives can significantly improve read/write speeds. - **Increase RAM…
ctx:claims/beam/5275930e-3c1e-4324-9529-8baf059284f8- full textbeam-chunktext/plain1 KB
doc:beam/5275930e-3c1e-4324-9529-8baf059284f8Show excerpt
collection_name = 'my_collection' client.create_collection(collection_name, dimension=3) # Insert vectors with dimension 3 vectors = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]] client.insert(collection_name, vectors) ``` Choose the solution that b…
ctx:claims/beam/e3b6838b-6a19-4154-9393-f99b46aee265- full textbeam-chunktext/plain957 B
doc:beam/e3b6838b-6a19-4154-9393-f99b46aee265Show excerpt
failure_rate = failures / num_insertions print(f"Failure rate: {failure_rate:.2%}") # Create a Milvus client client = milvus.Client(host='localhost', port=19530) # Create a collection collection_name = 'my_collection' client.creat…
ctx:claims/beam/c585b037-7a7e-4288-9832-4ce9e2571d53ctx:claims/beam/5a8ee5a7-e39c-486b-8ac0-78b88f8121ddctx:claims/beam/19d581bd-9e09-4819-ad3a-f497c9d8b02d- full textbeam-chunktext/plain1 KB
doc:beam/19d581bd-9e09-4819-ad3a-f497c9d8b02dShow excerpt
FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=True), FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=128) ] schema = CollectionSchema(fields, "Test Collection") # Create a collection collectio…
ctx:claims/beam/9bef49d0-7623-4f5c-8e00-f769e885a383ctx:claims/beam/78884303-75a2-43c8-9f0e-a7c86b59303a- full textbeam-chunktext/plain1 KB
doc:beam/78884303-75a2-43c8-9f0e-a7c86b59303aShow excerpt
Milvus itself does not provide built-in caching mechanisms, but you can implement caching at the application level using Redis or another caching layer. This can help reduce the load on Milvus and improve retrieval times. ### 4. Batch Quer…
See also
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