Hnswlib
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Hnswlib has 21 facts recorded in Dontopedia across 3 references, with 3 live disagreements.
21 facts·13 predicates·3 sources·3 in dispute
Mostly:rdf:type(3), f1 score exceeds(3), query latency lower than(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (14)
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.
queryLatencyHigherThanQuery Latency Higher Than(2)
- Dense Passage Retriever
ex:Dense-Passage-Retriever - Dpr
ex:DPR
containsMemberContains Member(1)
- Engines
ex:engines
f1ScoreExceedsF1 Score Exceeds(1)
- Sparse Retrieval
ex:Sparse-Retrieval
hasEnginesHas Engines(1)
- Comparison Matrix
ex:comparison-matrix
indexingTimeHigherThanIndexing Time Higher Than(1)
- Dense Passage Retriever
ex:Dense-Passage-Retriever
indexingTimeLowerThanIndexing Time Lower Than(1)
- Sparse Retrieval
ex:Sparse-Retrieval
isMeasuredForIs Measured for(1)
- Recall
ex:recall
memoryUsageHigherThanMemory Usage Higher Than(1)
- Dense Passage Retriever
ex:Dense-Passage-Retriever
memoryUsageLowerThanMemory Usage Lower Than(1)
- Sparse Retrieval
ex:Sparse-Retrieval
queryLatencyLowerThanQuery Latency Lower Than(1)
- Sparse Retrieval
ex:Sparse-Retrieval
tiesWithTies With(1)
- Dpr
ex:DPR
Other facts (18)
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.
18 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Retrieval Engine | [1] |
| Rdf:type | Retrieval System | [2] |
| Rdf:type | Information Retrieval System | [3] |
| F1 Score Exceeds | Dpr | [2] |
| F1 Score Exceeds | Faiss | [2] |
| F1 Score Exceeds | Qdrant | [2] |
| Query Latency Lower Than | Dpr | [2] |
| Query Latency Lower Than | Dense Passage Retriever | [2] |
| F1 Score | 0.82 | [2] |
| Query Latency | 210 | [2] |
| Indexing Time | 310 | [2] |
| Memory Usage | 510 | [2] |
| Indexing Time Higher Than | Sparse Retrieval | [2] |
| Memory Usage Higher Than | Sparse Retrieval | [2] |
| Has Community Support | 0.88 | [3] |
| Has Cost | 105 | [3] |
| Has Moderate Performance | true | [3] |
| May Offer Other Advantages | true | [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.
—
typebeam/475e93cf-7217-4357-9d01-d4dc6e10f13a
ex:RetrievalEngine
—
labelbeam/475e93cf-7217-4357-9d01-d4dc6e10f13a
Hnswlib
—
typebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:RetrievalSystem
—
labelbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
Hnswlib
—
f1_scorebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
0.82
—
query_latencybeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
210
—
indexing_timebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
310
—
memory_usagebeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
510
—
f1ScoreExceedsbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:DPR
—
f1ScoreExceedsbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Faiss
—
f1ScoreExceedsbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Qdrant
—
queryLatencyLowerThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:DPR
—
queryLatencyLowerThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Dense-Passage-Retriever
—
indexingTimeHigherThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Sparse-Retrieval
—
memoryUsageHigherThanbeam/d26a5287-fb4f-4619-b610-ba0ca857b51f
ex:Sparse-Retrieval
—
hasCommunitySupportbeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
0.88
—
hasCostbeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
105
—
hasModeratePerformancebeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
true
—
mayOfferOtherAdvantagesbeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
true
—
typebeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
ex:InformationRetrievalSystem
—
labelbeam/63063c97-1ded-45a2-9117-c21c3bcc4f66
Hnswlib
References (3)
3 references
ctx:claims/beam/475e93cf-7217-4357-9d01-d4dc6e10f13a- full textbeam-chunktext/plain1 KB
doc:beam/475e93cf-7217-4357-9d01-d4dc6e10f13aShow excerpt
This enhanced report provides a more comprehensive analysis and helps you make a more informed decision about which vector database to use for your RAG system. [Turn 2210] User: I'm trying to evaluate the performance of different sparse re…
ctx:claims/beam/d26a5287-fb4f-4619-b610-ba0ca857b51f- full textbeam-chunktext/plain1 KB
doc:beam/d26a5287-fb4f-4619-b610-ba0ca857b51fShow excerpt
matrix.loc['Dense Passage Retriever', 'f1_score'] = .72 matrix.loc['Sparse Retrieval', 'f1_score'] = 0.92 matrix.loc['Faiss', 'f1_score'] = 0.62 matrix.loc['Hnswlib', 'f1_score'] = 0.82 matrix.loc['Qdrant', 'f1_score'] = 0.72 matrix.loc['D…
ctx:claims/beam/63063c97-1ded-45a2-9117-c21c3bcc4f66- full textbeam-chunktext/plain1 KB
doc:beam/63063c97-1ded-45a2-9117-c21c3bcc4f66Show excerpt
matrix.loc['Dense Passage Retriever', 'community_support'] = 0.85 matrix.loc['Sparse Retrieval', 'community_support'] = 0.95 matrix.loc['Faiss', 'community_support'] = 0.8 matrix.loc['Hnswlib', 'community_support'] = 0.88 matrix.loc['Qdrant…
See also
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