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txtai

by NeuML

System Card

OrganizationNeuML
Released2020-08
Architecturevector-rag / Embedded vector database
DetailsAll-in-one embeddings database that bundles vector search, graph traversal, and LLM workflows in a single Python library. Backs many self-hosted RAG and memory deployments.
Parameters—
Domainrag-retrieval
Open SourceYes
WebsiteVisit
CodeRepository
embeddingslibrarypythonself-hosted

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Data Transparency:2 self-reported3 estimated
Long-Context Retrieval
2/5
RULER
75.786pEstimated
NIAH
no data
LooGLE
no data
LongBench
603pEstimated
∞Bench
no data
Multi-Turn Recall
0/2
LoCoMo
no data
MemoryBank
no data
Cross-Session Memory
0/1
LongMemEval
no data
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
65.425pEstimated
HotpotQA
49.52pSelf-Reported
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
68.946pSelf-Reported
Sources:txtai docstxtai benchmarkArena estimate — derived from capability profile, not independently verified