Query processing logic
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Query processing logic has 9 facts recorded in Dontopedia across 5 references, with 3 live disagreements.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
encapsulatesEncapsulates(4)
- Process Query Function
ex:process-query-function - Query Reformulator Class
ex:QueryReformulator-class - Query Rewriter
ex:query-rewriter - Search Similar Vectors Function
ex:search-similar-vectors-function
enclosesEncloses(1)
- Try Block
ex:try-block
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 | Functional Unit | [2] |
| Rdf:type | Code Block | [3] |
| Rdf:type | Business Logic | [4] |
| Rdf:type | Functional Component | [5] |
| Includes | Vector Normalization | [1] |
| Includes | Vector Reshaping | [1] |
| Includes | Nearest Neighbor Search | [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 (5)
ctx:claims/beam/9c3d6c77-2b58-4a3b-9618-59e705c00dfd- full textbeam-chunktext/plain1 KB
doc:beam/9c3d6c77-2b58-4a3b-9618-59e705c00dfdShow excerpt
# Normalize the vectors for cosine similarity faiss.normalize_L2(vectors) # Create an IVFPQ index nlist = 100 # Number of clusters m = 8 # Number of subquantizers index = faiss.IndexIVFPQ(faiss.IndexFlatL2(128), 128, nlist, m, 8) # 8 is…
ctx:claims/beam/03ec600a-b724-4073-95c2-a30011ec64c9ctx:claims/beam/06fc2a24-66e3-4ff6-b81d-9e7720b4fd37- full textbeam-chunktext/plain1 KB
doc:beam/06fc2a24-66e3-4ff6-b81d-9e7720b4fd37Show excerpt
return len(query) / 1000.0 # Example complexity calculation # Example usage queries = [ "What is the capital of France?", "Describe the architecture of the Eiffel Tower in detail.", "How many people live in New York City?"…
ctx:claims/beam/36b5994d-2dd5-4a63-bcbc-0f42c09b1a95ctx:claims/beam/08880dd4-acd2-4684-9e53-dc73ae969620
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.