SID AI

by SID (YC)

System Card

OrganizationSID (YC)

Released2023-06

Architectureagentic-workflow / agentic retrieval model

DetailsSID developed SID-1, an agentic retrieval model that searches, reads results, and iteratively refines queries (multi-hop retrieval) rather than performing a single embedding lookup. SID-1 is 1.8x more accurate than embedding-only search across general, finance, science, and legal domains, and 24x faster than agentic retrieval built on frontier LLMs like Gemini or GPT. Offered as a hosted retrieval API.

Parameters—

Domainrag-retrievalagent-memory

Open SourceNo

WebsiteVisit

agentic-retrievalmulti-hopiterative-searchAPISID-1

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

1/2

LoCoMo

78.579pEstimated

MemoryBank

no data

Cross-Session Memory

1/1

LongMemEval

77.158pEstimated

Multi-Hop QA

2/3

BABILong

no data

MultiHop-RAG

72.454pEstimated

HotpotQA

77.184pEstimated

Agent Task Memory

1/1

AgentBench-Mem

7226pEstimated

Personalization

0/1

PerLTQA

no data

Factuality / Grounding

0/1

RAGAS

no data

Sources:Arena estimate — derived from capability profile, not independently verified