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KDB AI

by KX Systems

System Card

OrganizationKX Systems
Released2023-08
Architecturevector-rag / time-series-native vector store
DetailsKDB.AI is built on kdb+, the world's fastest time-series database, extended with HNSW vector indexing. It uniquely supports temporal queries alongside vector similarity, enabling "stateful" RAG where retrieved context can be filtered by time windows. Available as managed cloud (KDB.AI Cloud) and on-premises server edition, with FAISS and custom HNSW backends.
Parameters—
Domainrag-retrievalepisodic-session
Open SourcePartial
WebsiteVisit
time-seriestemporal-ragkdb+financial-servicesstateful

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:6 estimated
Long-Context Retrieval
1/5
RULER
no data
NIAH
no data
LooGLE
no data
LongBench
603pEstimated
∞Bench
no data
Multi-Turn Recall
2/2
LoCoMo
58.29pEstimated
MemoryBank
60.15pEstimated
Cross-Session Memory
1/1
LongMemEval
56.83pEstimated
Multi-Hop QA
1/3
BABILong
no data
MultiHop-RAG
no data
HotpotQA
63.625pEstimated
Agent Task Memory
1/1
AgentBench-Mem
62.58pEstimated
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:Arena estimate — derived from capability profile, not independently verified