Dontopedia

Collection Instance

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Collection Instance has 7 facts recorded in Dontopedia across 3 references.

7 facts·7 predicates·3 sources

Mostly:rdf:type(1), collection name(1), uses schema(1)

Maturity scale raw canonical shape-checked rule-derived certified

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.

7 facts
PredicateValueRef
Rdf:typeCollection[1]
Collection Namerag_vectors[1]
Uses SchemaCollection Schema[1]
Created FromCollection Class[2]
Named Astest_collection[2]
Has Namemy_collection[3]
Has Collection NameCollection Name Variable[3]

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.

typebeam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
ex:Collection
collectionNamebeam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
rag_vectors
usesSchemabeam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
ex:collection-schema
createdFrombeam/845a6907-ed34-463a-9173-bf20dfde1501
ex:collection-class
namedAsbeam/845a6907-ed34-463a-9173-bf20dfde1501
test_collection
hasNamebeam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
my_collection
hasCollectionNamebeam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
ex:collection-name-variable

References (3)

3 references
  1. ctx:claims/beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
      Show excerpt
      FieldSchema(name="id", dtype=DataType.INT64, is_primary=True), FieldSchema(name="vector", dtype=DataType.FLOAT_VECTOR, dim=3) ] schema = CollectionSchema(fields, "RAG Vector Collection") collection = Collection("rag_vectors", schema
  2. ctx:claims/beam/845a6907-ed34-463a-9173-bf20dfde1501
    • full textbeam-chunk
      text/plain1 KBdoc:beam/845a6907-ed34-463a-9173-bf20dfde1501
      Show 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
  3. ctx:claims/beam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
    • full textbeam-chunk
      text/plain1 KBdoc:beam/97be8b15-c3b6-4489-b398-6a37a9bde5f9
      Show excerpt
      collection_name = "my_collection" collection = Collection(name=collection_name, schema=schema) # Check if the index is built index_info = collection.describe_index() if index_info["params"] == {}: print("Index not built. Rebuilding the

See also

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.