Dontopedia

limit

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

limit has 46 facts recorded in Dontopedia across 14 references, with 6 live disagreements.

46 facts·19 predicates·14 sources·6 in dispute

Mostly:rdf:type(13), has default value(4), controls(3)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (18)

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(5)

containsContains(2)

usesUses(2)

appliesToApplies to(1)

comparesCompares(1)

equalsEquals(1)

includesIncludes(1)

includesOptionalParameterIncludes Optional Parameter(1)

takesParameterTakes Parameter(1)

usesOperandsUses Operands(1)

usesParameterUses Parameter(1)

usesVariablesUses Variables(1)

Other facts (25)

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.

25 facts
PredicateValueRef
Has Default Value10[1]
Has Default Value10[3]
Has Default Value10[6]
Has Default Value200[7]
ControlsResponse Size[2]
ControlsPage Size[7]
ControlsResult Count[12]
Used inRetrieve Users Action[7]
Used inRetrieve Groups Action[7]
TypeOptional[int][8]
Typeint[13]
Supports FeaturePagination[1]
Is Extracted FromJson Payload[3]
AffectsSearch Result[3]
Is Requiredfalse[3]
Has Value10[5]
Parent ModelQuery Request Model[8]
Default Value10[8]
PurposePagination Limit[8]
Member ofPagination Parameters[9]
Belongs to ManyQuery Request Model[10]
Used bySearch Function[11]
Has Default10[14]
Has Typeint[14]
Has Maximum10[14]

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/bca4d8e6-8a3d-471c-b960-0fae3254e154
ex:Parameter
labelbeam/bca4d8e6-8a3d-471c-b960-0fae3254e154
limit
hasDefaultValuebeam/bca4d8e6-8a3d-471c-b960-0fae3254e154
10
supportsFeaturebeam/bca4d8e6-8a3d-471c-b960-0fae3254e154
ex:pagination
typebeam/48eca90d-3675-43ca-b279-e7ab4e6584f2
ex:OptionalParameter
labelbeam/48eca90d-3675-43ca-b279-e7ab4e6584f2
limit
controlsbeam/48eca90d-3675-43ca-b279-e7ab4e6584f2
ex:response-size
typebeam/26ca433f-69fc-460d-ad04-b5309ac73408
ex:Parameter
labelbeam/26ca433f-69fc-460d-ad04-b5309ac73408
Limit Parameter
isExtractedFrombeam/26ca433f-69fc-460d-ad04-b5309ac73408
ex:json-payload
hasDefaultValuebeam/26ca433f-69fc-460d-ad04-b5309ac73408
10
affectsbeam/26ca433f-69fc-460d-ad04-b5309ac73408
ex:search-result
isRequiredbeam/26ca433f-69fc-460d-ad04-b5309ac73408
false
typebeam/c92eb763-b9ec-407a-a291-c2cb3a0f17b8
ex:ResultConstraint
labelbeam/c92eb763-b9ec-407a-a291-c2cb3a0f17b8
limit
typebeam/ea34a816-3421-425e-97a9-50206b2c6248
ex:Parameter
labelbeam/ea34a816-3421-425e-97a9-50206b2c6248
Limit Parameter
hasValuebeam/ea34a816-3421-425e-97a9-50206b2c6248
10
typebeam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
ex:QueryParameter
labelbeam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
result limit parameter
hasDefaultValuebeam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
10
typebeam/65f72cfc-1338-4898-a5ae-fbb7f7869ecb
ex:PaginationParameter
labelbeam/65f72cfc-1338-4898-a5ae-fbb7f7869ecb
limit
hasDefaultValuebeam/65f72cfc-1338-4898-a5ae-fbb7f7869ecb
200
usedInbeam/65f72cfc-1338-4898-a5ae-fbb7f7869ecb
ex:retrieve-users-action
usedInbeam/65f72cfc-1338-4898-a5ae-fbb7f7869ecb
ex:retrieve-groups-action
controlsbeam/65f72cfc-1338-4898-a5ae-fbb7f7869ecb
ex:page-size
typebeam/af6c5291-028b-4d57-ad50-a5cab4e2e537
ex:OptionalIntegerField
parentModelbeam/af6c5291-028b-4d57-ad50-a5cab4e2e537
ex:query-request-model
defaultValuebeam/af6c5291-028b-4d57-ad50-a5cab4e2e537
10
purposebeam/af6c5291-028b-4d57-ad50-a5cab4e2e537
ex:PaginationLimit
typebeam/af6c5291-028b-4d57-ad50-a5cab4e2e537
Optional[int]
typebeam/dcc09b4c-31c2-496a-9dd4-c5e8da77df0d
ex:PaginationParameter
memberOfbeam/dcc09b4c-31c2-496a-9dd4-c5e8da77df0d
ex:pagination-parameters
typebeam/d525d9ae-20fb-4fd3-b227-e614fdb8138f
ex:QueryParameter
belongsToManybeam/d525d9ae-20fb-4fd3-b227-e614fdb8138f
ex:QueryRequest-model
typebeam/874fc8ac-c5b9-47d6-80ec-a41b0c1d5110
ex:FunctionParameter
usedBybeam/874fc8ac-c5b9-47d6-80ec-a41b0c1d5110
ex:search-function
controlsbeam/ab023690-9ab9-4193-91b8-cffbedaab3d4
ex:result-count
typebeam/fd248e6e-03d8-436f-8bb2-111ef57c4481
ex:Parameter
namebeam/fd248e6e-03d8-436f-8bb2-111ef57c4481
limit
typebeam/fd248e6e-03d8-436f-8bb2-111ef57c4481
int
typebeam/a9d3d51a-3844-46bd-842d-23583e5cd6a4
ex:QueryParameter
hasDefaultbeam/a9d3d51a-3844-46bd-842d-23583e5cd6a4
10
hasTypebeam/a9d3d51a-3844-46bd-842d-23583e5cd6a4
int
hasMaximumbeam/a9d3d51a-3844-46bd-842d-23583e5cd6a4
10

References (14)

14 references
  1. ctx:claims/beam/bca4d8e6-8a3d-471c-b960-0fae3254e154
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bca4d8e6-8a3d-471c-b960-0fae3254e154
      Show excerpt
      "query": "example query", "parameters": { "limit": 10, "offset": 0, "sort_by": "relevance", "filters": { "category": "books", "price_range": "10-50" } } } ``` * **Response**: JSO
  2. ctx:claims/beam/48eca90d-3675-43ca-b279-e7ab4e6584f2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/48eca90d-3675-43ca-b279-e7ab4e6584f2
      Show excerpt
      * **Rate Limit**: 100 requests per minute per IP address. * **Headers**: - `X-RateLimit-Limit`: Maximum number of requests allowed per minute. - `X-RateLimit-Remaining`: Number of remaining requests in the current window. - `X-RateLim
  3. ctx:claims/beam/26ca433f-69fc-460d-ad04-b5309ac73408
    • full textbeam-chunk
      text/plain1 KBdoc:beam/26ca433f-69fc-460d-ad04-b5309ac73408
      Show excerpt
      - Ensure that the API is secure by validating input and protecting against common vulnerabilities. ### Enhanced API Implementation Here's an enhanced version of your API code: ```python from flask import Flask, request, jsonify import
  4. ctx:claims/beam/c92eb763-b9ec-407a-a291-c2cb3a0f17b8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/c92eb763-b9ec-407a-a291-c2cb3a0f17b8
      Show excerpt
      vectors = np.random.rand(1000, 128).astype(np.float32) collection.insert([vectors]) # Flush data collection.flush() # Search query_vector = np.random.rand(1, 128).astype(np.float32) results = collection.search([query_vector], "embedding",
  5. ctx:claims/beam/ea34a816-3421-425e-97a9-50206b2c6248
  6. ctx:claims/beam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
    • full textbeam-chunk
      text/plain821 Bdoc:beam/b199aa18-2d4a-4e37-a971-f1f5b557a5b8
      Show excerpt
      print("Vector search query successful (size 128):") print(result_128) query_vector_256 = [0.5, 0.6, 0.7, 0.8] * 64 # Example query vector of size 256 near_vector_256 = {"vector": query_vector_256} result_256 = ( client.query.get("MyC
  7. ctx:claims/beam/65f72cfc-1338-4898-a5ae-fbb7f7869ecb
  8. ctx:claims/beam/af6c5291-028b-4d57-ad50-a5cab4e2e537
    • full textbeam-chunk
      text/plain1 KBdoc:beam/af6c5291-028b-4d57-ad50-a5cab4e2e537
      Show excerpt
      from fastapi import FastAPI, Depends from pydantic import BaseModel from typing import List, Optional import redis from fastapi.middleware.cors import CORSMiddleware app = FastAPI() # Initialize Redis client r = redis.Redis(host='localhos
  9. ctx:claims/beam/dcc09b4c-31c2-496a-9dd4-c5e8da77df0d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dcc09b4c-31c2-496a-9dd4-c5e8da77df0d
      Show excerpt
      from fastapi.middleware.trustedhost import TrustedHostMiddleware from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.gzip import GZipMiddleware from fastapi.middleware.httpsredirect import HTTPSRedirectMiddleware app
  10. ctx:claims/beam/d525d9ae-20fb-4fd3-b227-e614fdb8138f
  11. ctx:claims/beam/874fc8ac-c5b9-47d6-80ec-a41b0c1d5110
    • full textbeam-chunk
      text/plain1 KBdoc:beam/874fc8ac-c5b9-47d6-80ec-a41b0c1d5110
      Show excerpt
      cache_key = f"search:{query.query}:{query.limit}" # Check if the result is already in the cache cached_result = r.get(cache_key) if cached_result: return SearchResponse.parse_raw(cached_result) # Simula
  12. ctx:claims/beam/ab023690-9ab9-4193-91b8-cffbedaab3d4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ab023690-9ab9-4193-91b8-cffbedaab3d4
      Show excerpt
      def health_check(): return {"status": "OK"} ``` #### Dense Retrieval Service ```python from fastapi import FastAPI, HTTPException from pydantic import BaseModel import requests app = FastAPI() class SearchQuery(BaseModel): query
  13. ctx:claims/beam/fd248e6e-03d8-436f-8bb2-111ef57c4481
  14. ctx:claims/beam/a9d3d51a-3844-46bd-842d-23583e5cd6a4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a9d3d51a-3844-46bd-842d-23583e5cd6a4
      Show excerpt
      return jsonify({"error": "Unauthorized access"}), 403 ``` ### 4. Rate Limiting and Throttling Implement rate limiting and throttling to prevent abuse: ```python from flask_limiter import Limiter limiter = Limiter(app, key_func=lambd

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.