Collection Instance
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Collection Instance has 7 facts recorded in Dontopedia across 3 references.
Mostly:rdf:type(1), collection name(1), uses schema(1)
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Collection | [1] |
| Collection Name | rag_vectors | [1] |
| Uses Schema | Collection Schema | [1] |
| Created From | Collection Class | [2] |
| Named As | test_collection | [2] |
| Has Name | my_collection | [3] |
| Has Collection Name | Collection 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.
References (3)
ctx:claims/beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69- full textbeam-chunktext/plain1 KB
doc:beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69Show 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…
ctx:claims/beam/845a6907-ed34-463a-9173-bf20dfde1501- full textbeam-chunktext/plain1 KB
doc:beam/845a6907-ed34-463a-9173-bf20dfde1501Show 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/97be8b15-c3b6-4489-b398-6a37a9bde5f9- full textbeam-chunktext/plain1 KB
doc:beam/97be8b15-c3b6-4489-b398-6a37a9bde5f9Show 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…
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