Weaviate 1.19.0

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

Weaviate 1.19.0

Rdf:type	Database System^[8]
Rdf:type	Software System^[1]
Has Search Latency	200ms^[3]
Has Search Latency	200^[5]
Is Candidate for	5000 Concurrent Queries^[6]
Is Candidate for	99.85 Uptime^[6]
Has Security Feature	Access Control^[2]
Has Security Feature	Encryption^[2]
Rdfs:label	Weaviate 1.19.0^[3]
Has Version	1.19.0^[2]
Vectors for Latency Measurement	1000000^[5]
Latency Measured on	1000000^[5]

ex:weaviate-1.19.0

Weaviate 1.19.0 has 51 facts recorded in Dontopedia across 8 references, with 4 live disagreements.

51 facts·34 predicates·8 sources·4 in dispute

Mostly:rdf:type(8), rdfs:label(5), is candidate for(3)

Rdf:typein dispute`rdf:type`

Database System^[8]all time · 222a16c0 763c 448f B629 621eaa29cb10
Software System^[1]all time · Caa805b2 4729 493c B82f 8b6d4e00f8f0
Technology^[6]all time · E114b4a4 Ebc8 4ee1 A73e 5f2664d1e4bc
Vector Database^[7]all time · 7ee070e6 2cfb 4b71 Bea2 0c6ae37bc64b
Vector Database^[3]all time · 35124962 053f 4f36 9f8b E16fc8ab2e8c
Vector Database Software^[5]all time · Fb5e8807 4540 4cc2 8f4a Fdeccb563fb1
Vector Search Library^[2]all time · 3a68689f 0403 4ef3 Ab73 Fe63e48605e5
Vector Search Library^[4]all time · 8d93ca4e Fed2 4c20 Bf07 6ffa8a290e9f

Has Search Latencyin dispute`hasSearchLatency`

200ms^[3]all time · 35124962 053f 4f36 9f8b E16fc8ab2e8c
200^[5]sourceall time · Fb5e8807 4540 4cc2 8f4a Fdeccb563fb1

Is Candidate forin dispute`isCandidateFor`

5000 Concurrent Queries^[6]all time · E114b4a4 Ebc8 4ee1 A73e 5f2664d1e4bc
99.85 Uptime^[6]all time · E114b4a4 Ebc8 4ee1 A73e 5f2664d1e4bc
User Use Case^[6]sourceall time · E114b4a4 Ebc8 4ee1 A73e 5f2664d1e4bc

Has Security Featurein dispute`hasSecurityFeature`

Access Control^[2]all time · 3a68689f 0403 4ef3 Ab73 Fe63e48605e5
Encryption^[2]all time · 3a68689f 0403 4ef3 Ab73 Fe63e48605e5

Rdfs:label`rdfs:label`

Weaviate 1.19.0^[3]all time · 35124962 053f 4f36 9f8b E16fc8ab2e8c
Weaviate 1.19.0^[7]sourceall time · 7ee070e6 2cfb 4b71 Bea2 0c6ae37bc64b
Weaviate 1.19.0^[8]sourceall time · 222a16c0 763c 448f B629 621eaa29cb10
Weaviate 1.19.0^[2]all time · 3a68689f 0403 4ef3 Ab73 Fe63e48605e5
Weaviate 1.19.0^[1]all time · Caa805b2 4729 493c B82f 8b6d4e00f8f0

Has Version`hasVersion`

1.19.0^[2]all time · 3a68689f 0403 4ef3 Ab73 Fe63e48605e5
1.19.0^[5]sourceall time · Fb5e8807 4540 4cc2 8f4a Fdeccb563fb1
1.19.0^[3]all time · 35124962 053f 4f36 9f8b E16fc8ab2e8c

Vectors for Latency Measurement`vectorsForLatencyMeasurement`

1000000^[5]sourceall time · Fb5e8807 4540 4cc2 8f4a Fdeccb563fb1

Latency Measured on`latencyMeasuredOn`

1000000^[5]sourceall time · Fb5e8807 4540 4cc2 8f4a Fdeccb563fb1

Latency Unit`latencyUnit`

milliseconds^[5]sourceall time · Fb5e8807 4540 4cc2 8f4a Fdeccb563fb1

Is Member of`isMemberOf`

Different Technologies^[6]sourceall time · E114b4a4 Ebc8 4ee1 A73e 5f2664d1e4bc

Version`version`

1.19.0^[6]all time · E114b4a4 Ebc8 4ee1 A73e 5f2664d1e4bc

Handles Smoothly`handlesSmoothly`

5000 Concurrent Queries^[1]sourceall time · Caa805b2 4729 493c B82f 8b6d4e00f8f0

Inbound mentions (24)

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.

`includesLibrary`Includes Library(4)

Cloud Supporting Librariesex:cloud-supporting-libraries
Encryption Equipped Librariesex:encryption-equipped-libraries
Feature Equivalence Group 1ex:feature-equivalence-group-1
Feature Matching Triadex:feature-matching-triad

`hasLowerThroughputThan`Has Lower Throughput Than(3)

Annoy 1.18.0ex:annoy-1.18.0
Faiss 1.7.3ex:faiss-1.7.3
Hnswlib 0.9.2ex:hnswlib-0.9.2

`hasMember`Has Member(3)

Cost Orderingex:cost-ordering
Different Technologiesex:different-technologies
Library Order in Costex:library-order-in-cost

`isConsidering`Is Considering(2)

Userex:user
Userex:user

`assignedTo`Assigned to(1)

Cost Value 140ex:cost-value-140

`describesIntegrationOf`Describes Integration of(1)

Integration Guideex:integration-guide

`hasHigherThroughputThan`Has Higher Throughput Than(1)

Qdrant 0.8.1ex:qdrant-0.8.1

`hasHigherUptimeThan`Has Higher Uptime Than(1)

Qdrant 0.8.1ex:qdrant-0.8.1

`hasResearchedTechnology`Has Researched Technology(1)

Userex:user

`hasSameUptimeAs`Has Same Uptime As(1)

Faiss 1.7.3ex:faiss-1.7.3

`includes`Includes(1)

Technology Researchex:technology-research

`includesDatabase`Includes Database(1)

Refined Comparison Matrixex:refined-comparison-matrix

`mentionsSystem`Mentions System(1)

Turn 2224ex:turn-2224

`predecessor-of`Predecessor of(1)

Weaviate 1.14.0ex:weaviate-1.14.0

`recommendedFor`Recommended for(1)

Metrics Listex:metrics-list

`usesVectorDatabase`Uses Vector Database(1)

User 2220ex:user-2220

Other facts (22)

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.

22 facts

Predicate	Value	Ref
Has Testing Phase	Testing Phase	[1]
Requires Monitoring	Metrics	[1]
Can Handle	5000 Concurrent Queries	[1]
Security Features Exact	Encryption, Access Control	[2]
Deployment Flexibility Exact	Cloud, On-Premises	[2]
Supports on Premises Deployment	true	[2]
Supports Cloud Deployment	true	[2]
Has Security Features	Encryption, Access Control	[2]
Has Deployment Flexibility	Cloud, On-Premises	[2]
Has Cost	140	[2]
Requires	Performance Monitoring	[8]
Has Second Highest Throughput	All Libraries	[4]
Has Community Support	0.85	[4]
Has Ease of Integration	0.85	[4]
Has Uptime	0.998	[4]
Has Throughput	980	[4]
Target Uptime	99.85%	[7]
Supports Concurrent Queries	5000	[7]
Successor of	Weaviate 1.14.0	[3]
Suitable for	hybrid-retrieval-setup	[3]
Has Search Performance	200ms-latency-for-1-million-vectors	[3]
Handles Vector Count	1000000	[3]

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.

51 undated

—

canHandlebeam/caa805b2-4729-493c-b82f-8b6d4e00f8f0

ex:5000-concurrent-queries

—

deploymentFlexibilityExactbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

Cloud, On-Premises

—

handlesSmoothlybeam/caa805b2-4729-493c-b82f-8b6d4e00f8f0

ex:5000-concurrent-queries

—

handlesVectorCountbeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

1000000

—

hasCommunitySupportbeam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f

0.85

—

hasCostbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

140

—

hasDeploymentFlexibilitybeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

Cloud, On-Premises

—

hasEaseOfIntegrationbeam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f

0.85

—

hasSearchLatencybeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

200ms

—

hasSearchLatencybeam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1

200

—

hasSearchPerformancebeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

200ms-latency-for-1-million-vectors

—

hasSecondHighestThroughputbeam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f

ex:all-libraries

—

hasSecurityFeaturebeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

ex:access-control

—

hasSecurityFeaturebeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

ex:encryption

—

hasSecurityFeaturesbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

Encryption, Access Control

—

hasTestingPhasebeam/caa805b2-4729-493c-b82f-8b6d4e00f8f0

ex:testing-phase

—

hasThroughputbeam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f

980

—

hasUptimebeam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f

0.998

—

hasVersionbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

1.19.0

—

hasVersionbeam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1

1.19.0

—

hasVersionbeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

1.19.0

—

isCandidateForbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

ex:5000-concurrent-queries

—

isCandidateForbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

ex:99.85-uptime

—

isCandidateForbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

ex:user-use-case

—

isMemberOfbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

ex:different-technologies

—

latencyMeasuredOnbeam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1

1000000

—

latencyUnitbeam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1

milliseconds

—

labelbeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

Weaviate 1.19.0

—

labelbeam/7ee070e6-2cfb-4b71-bea2-0c6ae37bc64b

Weaviate 1.19.0

—

labelbeam/222a16c0-763c-448f-b629-621eaa29cb10

Weaviate 1.19.0

—

labelbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

Weaviate 1.19.0

—

labelbeam/caa805b2-4729-493c-b82f-8b6d4e00f8f0

Weaviate 1.19.0

—

typebeam/222a16c0-763c-448f-b629-621eaa29cb10

ex:DatabaseSystem

—

typebeam/caa805b2-4729-493c-b82f-8b6d4e00f8f0

ex:SoftwareSystem

—

typebeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

ex:Technology

—

typebeam/7ee070e6-2cfb-4b71-bea2-0c6ae37bc64b

ex:vector-database

—

typebeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

ex:VectorDatabase

—

typebeam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1

ex:VectorDatabaseSoftware

—

typebeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

ex:VectorSearchLibrary

—

typebeam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f

ex:VectorSearchLibrary

—

requiresbeam/222a16c0-763c-448f-b629-621eaa29cb10

ex:performance-monitoring

—

requiresMonitoringbeam/caa805b2-4729-493c-b82f-8b6d4e00f8f0

ex:metrics

—

securityFeaturesExactbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

Encryption, Access Control

—

successor-ofbeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

ex:weaviate-1.14.0

—

suitableForbeam/35124962-053f-4f36-9f8b-e16fc8ab2e8c

hybrid-retrieval-setup

—

supportsCloudDeploymentbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

true

—

supportsConcurrentQueriesbeam/7ee070e6-2cfb-4b71-bea2-0c6ae37bc64b

5000

—

supportsOnPremisesDeploymentbeam/3a68689f-0403-4ef3-ab73-fe63e48605e5

true

—

targetUptimebeam/7ee070e6-2cfb-4b71-bea2-0c6ae37bc64b

99.85%

—

vectorsForLatencyMeasurementbeam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1

1000000

—

versionbeam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc

1.19.0

References (8)

8 references

[1]beam-chunk6 facts
customctx:claims/beam/caa805b2-4729-493c-b82f-8b6d4e00f8f0
- full textbeam-chunk
  text/plain1 KBdoc:beam/caa805b2-4729-493c-b82f-8b6d4e00f8f0
  Show excerpt
  By focusing on these key metrics and conducting thorough testing, you can ensure that Weaviate 1.19.0 is capable of handling 5,000 concurrent queries smoothly. Make sure to monitor and tune these metrics during your testing phase to achieve…
[2]3a68689f 0403 4ef3 Ab73 Fe63e48605e512 facts
customctx:claims/beam/3a68689f-0403-4ef3-ab73-fe63e48605e5
[3]35124962 053f 4f36 9f8b E16fc8ab2e8c8 facts
customctx:claims/beam/35124962-053f-4f36-9f8b-e16fc8ab2e8c
[4]beam-chunk6 facts
customctx:claims/beam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f
- full textbeam-chunk
  text/plain1 KBdoc:beam/8d93ca4e-fed2-4c20-bf07-6ffa8a290e9f
  Show excerpt
  matrix.loc['Faiss 1.7.3', 'throughput'] = 950 matrix.loc['Annoy 1.18.0', 'throughput'] = 900 matrix.loc['Hnswlib 0.9.2', 'throughput'] = 930 matrix.loc['Qdrant 0.8.1', 'throughput'] = 1020 matrix.loc['Weaviate 1.19.0', 'throughput'] = 980 …
[5]beam-chunk6 facts
customctx:claims/beam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1
- full textbeam-chunk
  text/plain1 KBdoc:beam/fb5e8807-4540-4cc2-8f4a-fdeccb563fb1
  Show excerpt
  [Turn 2510] User: I'm trying to design a hybrid retrieval setup to support 5,000 concurrent queries with 99.85% uptime, and I'm considering Weaviate 1.19.0 for its 200ms search latency on 1 million vectors. I want to ensure that our system …
[6]beam-chunk6 facts
customctx:claims/beam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc
- full textbeam-chunk
  text/plain1 KBdoc:beam/e114b4a4-ebc8-4ee1-a73e-5f2664d1e4bc
  Show excerpt
  [Turn 2240] User: I'm trying to optimize my system architecture to support 5,000 concurrent queries with 99.85% uptime. I've been researching different technologies, including Weaviate 1.19.0, and I'm wondering if it would be a good fit for…
[7]beam-chunk4 facts
customctx:claims/beam/7ee070e6-2cfb-4b71-bea2-0c6ae37bc64b
- full textbeam-chunk
  text/plain1 KBdoc:beam/7ee070e6-2cfb-4b71-bea2-0c6ae37bc64b
  Show excerpt
  By following these steps and using the provided example code, you can integrate Weaviate 1.19.0 into your existing system architecture to support 5,000 concurrent queries with 99.85% uptime. Ensure you monitor and scale your setup to mainta…
[8]beam-chunk3 facts
customctx:claims/beam/222a16c0-763c-448f-b629-621eaa29cb10
- full textbeam-chunk
  text/plain1 KBdoc:beam/222a16c0-763c-448f-b629-621eaa29cb10
  Show excerpt
  [Turn 2224] User: hmm, which specific metrics should I focus on to ensure Weaviate handles 5,000 concurrent queries smoothly? [Turn 2225] Assistant: To ensure that Weaviate 1.19.0 can handle 5,000 concurrent queries smoothly, you should fo…

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.

Weaviate 1.19.0

Rdf:typein disputerdf:type

Has Search Latencyin disputehasSearchLatency

Is Candidate forin disputeisCandidateFor

Has Security Featurein disputehasSecurityFeature

Rdfs:labelrdfs:label

Has VersionhasVersion

Vectors for Latency MeasurementvectorsForLatencyMeasurement

Latency Measured onlatencyMeasuredOn

Latency UnitlatencyUnit

Is Member ofisMemberOf

Versionversion

Handles SmoothlyhandlesSmoothly

Inbound mentions (24)

includesLibraryIncludes Library(4)

hasLowerThroughputThanHas Lower Throughput Than(3)

hasMemberHas Member(3)

isConsideringIs Considering(2)

assignedToAssigned to(1)

describesIntegrationOfDescribes Integration of(1)

hasHigherThroughputThanHas Higher Throughput Than(1)

hasHigherUptimeThanHas Higher Uptime Than(1)

hasResearchedTechnologyHas Researched Technology(1)

hasSameUptimeAsHas Same Uptime As(1)

includesIncludes(1)

includesDatabaseIncludes Database(1)

mentionsSystemMentions System(1)

predecessor-ofPredecessor of(1)

recommendedForRecommended for(1)

usesVectorDatabaseUses Vector Database(1)

Other facts (22)

Timeline

References (8)

See also

Keep researching

Rdf:typein dispute`rdf:type`

Has Search Latencyin dispute`hasSearchLatency`

Is Candidate forin dispute`isCandidateFor`

Has Security Featurein dispute`hasSecurityFeature`

Rdfs:label`rdfs:label`

Has Version`hasVersion`

Vectors for Latency Measurement`vectorsForLatencyMeasurement`

Latency Measured on`latencyMeasuredOn`

Latency Unit`latencyUnit`

Is Member of`isMemberOf`

Version`version`

Handles Smoothly`handlesSmoothly`

`includesLibrary`Includes Library(4)

`hasLowerThroughputThan`Has Lower Throughput Than(3)

`hasMember`Has Member(3)

`isConsidering`Is Considering(2)

`assignedTo`Assigned to(1)

`describesIntegrationOf`Describes Integration of(1)

`hasHigherThroughputThan`Has Higher Throughput Than(1)

`hasHigherUptimeThan`Has Higher Uptime Than(1)

`hasResearchedTechnology`Has Researched Technology(1)

`hasSameUptimeAs`Has Same Uptime As(1)

`includes`Includes(1)

`includesDatabase`Includes Database(1)

`mentionsSystem`Mentions System(1)

`predecessor-of`Predecessor of(1)

`recommendedFor`Recommended for(1)

`usesVectorDatabase`Uses Vector Database(1)