index_query
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
index_query has 22 facts recorded in Dontopedia across 3 references, with 5 live disagreements.
Mostly:rdf:type(2), parameter(2), performs(2)
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.
calledAfterCalled After(1)
- Search Query
ex:search-query
calledByCalled by(1)
- Search Query
ex:search-query
callsCalls(1)
- Example Usage
ex:example-usage
containsFunctionContains Function(1)
- Code Snippet
ex:code-snippet
relatedFunctionRelated Function(1)
- Search Query
ex:search-query
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Function | [2] |
| Rdf:type | Function | [3] |
| Parameter | query | [2] |
| Parameter | embedding | [3] |
| Performs | Insertion | [3] |
| Performs | Load | [3] |
| Invokes | Collection.insert | [3] |
| Invokes | Collection.load | [3] |
| Calls Method | Collection.insert | [3] |
| Calls Method | Collection.load | [3] |
| Invoked With Vector List | [np.random.rand(128)] | [1] |
| Invoked With Top K | 10 | [1] |
| Uses Elasticsearch | Elasticsearch | [2] |
| Related Function | Search Query | [2] |
| Calls | Search Query | [2] |
| Return Type | Void | [2] |
| Returns | id | [3] |
| Returns Id | true | [3] |
| Defines | Function | [3] |
| Enables | Fast Search | [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/afdc0b5a-c3ba-41ed-b956-3710e22ccb32- full textbeam-chunktext/plain1 KB
doc:beam/afdc0b5a-c3ba-41ed-b956-3710e22ccb32Show excerpt
We'll evaluate the following metrics: - Search latency - Indexing latency - Storage efficiency - Scalability - Ease of use - Cost #### Step 2: Implement the Evaluation Framework Here's an improved version of your code: ```python import p…
ctx:claims/beam/36ca7ae8-bef7-4817-b9ff-e6fe5e45626b- full textbeam-chunktext/plain1 KB
doc:beam/36ca7ae8-bef7-4817-b9ff-e6fe5e45626bShow excerpt
es.index(index=index_name, body={'query': query}) def search_query(query): response = es.search(index=index_name, body={'query': {'match': {'query': query}}}) return response['hits']['hits'] query = 'What is the meaning of lif…
ctx:claims/beam/3ec8c303-e081-4923-9f67-5956a4f6bef5
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.