Bool query with term query example
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Bool query with term query example has 18 facts recorded in Dontopedia across 4 references, with 3 live disagreements.
Mostly:rdf:type(4), uses query type(2), is example of(1)
Maturity scale
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hasArgumentHas Argument(1)
- Predict Call
ex:predict-call
hasCodeExampleHas Code Example(1)
- Efficient Query Types Section
ex:efficient-query-types-section
pairsPairs(1)
- Training Entry 1
ex:training-entry-1
Other facts (15)
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 | Query | [1] |
| Rdf:type | Query Example | [2] |
| Rdf:type | Query | [3] |
| Rdf:type | Geographic Question | [4] |
| Uses Query Type | Bool Query | [2] |
| Uses Query Type | Term Query | [2] |
| Is Example of | Retrieve With Context Function | [1] |
| Topic | implementing new features | [1] |
| System Referenced | Rag System | [1] |
| Targets Field | Message Keyword Field | [2] |
| Searches for | error | [2] |
| Demonstrates | Prefer Term Queries | [2] |
| Uses Http Method | Get Http Method | [2] |
| Has Json Structure | Bool Query Json Structure | [2] |
| Is Code Block | true | [2] |
Timeline
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References (4)
ctx:claims/beam/c8641deb-5e25-45d7-8f47-a003548961b6ctx:claims/beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86- full textbeam-chunktext/plain1 KB
doc:beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86Show excerpt
Ensure your queries are optimized for performance. 1. **Use Efficient Query Types**: Prefer `term` and `terms` queries over `match` and `match_phrase` queries when possible. ```json { "query": { "bool": { "mu…
ctx:claims/beam/18e6c5b9-2160-4b21-9330-265fbb84e19dctx:claims/beam/7330f1b5-3c62-486a-ba82-b5783b9e4936- full textbeam-chunktext/plain1 KB
doc:beam/7330f1b5-3c62-486a-ba82-b5783b9e4936Show excerpt
for future in as_completed(futures): results.extend(future.result()) return results # Example usage: queries = ["What is the capital of France?", "Who is the president of the United States?", ...] reformulated_q…
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