VectorDatabase
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
VectorDatabase has 22 facts recorded in Dontopedia across 4 references, with 4 live disagreements.
22 facts·9 predicates·4 sources·4 in dispute
Mostly:has method(8), has instance variable(3), rdf:type(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
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.
belongsToBelongs to(3)
- Add Vector Method
ex:add-vector-method - Init Method
ex:__init__-method - Search Method
ex:search-method
classStructureClass Structure(1)
- Code Segment
ex:code-segment
instantiatesInstantiates(1)
- Sample Vector Database
ex:sample-vector-database
isInstanceOfIs Instance of(1)
- Sample Vector Database
ex:sample-vector-database
isNotMethodOfIs Not Method of(1)
- Calculate Accuracy Function
ex:calculate-accuracy-function
isPartOfClassIs Part of Class(1)
- Code Segment
ex:code-segment
usesImplementationUses Implementation(1)
- Proof of Concept
ex:proof-of-concept
Other facts (20)
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.
20 facts
| Predicate | Value | Ref |
|---|---|---|
| Has Method | Search Method | [2] |
| Has Method | Add Vector Method | [2] |
| Has Method | Init Method | [3] |
| Has Method | Add Vector Method | [3] |
| Has Method | Search Method | [3] |
| Has Method | Init Method | [4] |
| Has Method | Add Vector Method | [4] |
| Has Method | Search Method | [4] |
| Has Instance Variable | Self Library | [1] |
| Has Instance Variable | Self Collection | [1] |
| Has Instance Variable | Self Index | [1] |
| Rdf:type | Class | [2] |
| Rdf:type | Class | [4] |
| Has Attribute | Vectors Attribute | [3] |
| Has Attribute | Self Vectors | [4] |
| Purpose | Performance Benchmarking | [1] |
| Is Incomplete | true | [3] |
| Is Python Class | true | [3] |
| Is Subtype of | Database | [4] |
| Encapsulates | Self Vectors | [4] |
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.
—
hasInstanceVariablebeam/6deee081-c9a8-4ef0-b743-a35ef9816a7d
ex:self-library
—
hasInstanceVariablebeam/6deee081-c9a8-4ef0-b743-a35ef9816a7d
ex:self-collection
—
hasInstanceVariablebeam/6deee081-c9a8-4ef0-b743-a35ef9816a7d
ex:self-index
—
purposebeam/6deee081-c9a8-4ef0-b743-a35ef9816a7d
ex:performance-benchmarking
—
hasMethodbeam/5278119f-c632-4b91-b193-f1e7bddf1e64
ex:search-method
—
typebeam/5278119f-c632-4b91-b193-f1e7bddf1e64
ex:Class
—
labelbeam/5278119f-c632-4b91-b193-f1e7bddf1e64
VectorDatabase
—
hasMethodbeam/5278119f-c632-4b91-b193-f1e7bddf1e64
ex:add-vector-method
—
hasMethodbeam/70165755-37b6-4b8e-a56a-a48433087e41
ex:init-method
—
hasMethodbeam/70165755-37b6-4b8e-a56a-a48433087e41
ex:add-vector-method
—
hasMethodbeam/70165755-37b6-4b8e-a56a-a48433087e41
ex:search-method
—
hasAttributebeam/70165755-37b6-4b8e-a56a-a48433087e41
ex:vectors-attribute
—
isIncompletebeam/70165755-37b6-4b8e-a56a-a48433087e41
true
—
isPythonClassbeam/70165755-37b6-4b8e-a56a-a48433087e41
true
—
typebeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:class
—
labelbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
VectorDatabase
—
hasMethodbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:__init__-method
—
hasMethodbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:add-vector-method
—
hasMethodbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:search-method
—
isSubtypeOfbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:database
—
hasAttributebeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:self-vectors
—
encapsulatesbeam/3c5f5c5b-6881-4f14-9961-c13194b540b4
ex:self-vectors
References (4)
4 references
ctx:claims/beam/6deee081-c9a8-4ef0-b743-a35ef9816a7d- full textbeam-chunktext/plain1 KB
doc:beam/6deee081-c9a8-4ef0-b743-a35ef9816a7dShow excerpt
vectors = np.random.rand(num_vectors, 128).astype('float32').tolist() ids = [str(i) for i in range(num_vectors)] start_time = time.time() self.collection.insert(vectors, ids) end_t…
ctx:claims/beam/5278119f-c632-4b91-b193-f1e7bddf1e64- full textbeam-chunktext/plain1 KB
doc:beam/5278119f-c632-4b91-b193-f1e7bddf1e64Show excerpt
# Calculate the similarity between the query vector and each vector in the database similarities = [np.dot(query_vector, vector) for vector in self.vectors] # Return the indices of the top 10 most similar vectors …
ctx:claims/beam/70165755-37b6-4b8e-a56a-a48433087e41- full textbeam-chunktext/plain1 KB
doc:beam/70165755-37b6-4b8e-a56a-a48433087e41Show excerpt
Based on the calculation, the estimated effort to complete 100% of the architecture sketches is 15 hours. Given that you have allocated 12 hours to complete 80% of the sketches, this seems realistic if you can manage to work efficiently wit…
ctx:claims/beam/3c5f5c5b-6881-4f14-9961-c13194b540b4- full textbeam-chunktext/plain1 KB
doc:beam/3c5f5c5b-6881-4f14-9961-c13194b540b4Show excerpt
# Define the vector database class VectorDatabase: def __init__(self): self.vectors = [] def add_vector(self, vector): self.vectors.append(vector) def search(self, query_vector, top_k=10): # Calculate t…
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.