AIQ Overview

Theme preference system; currently light.

Mem

Memory systems, readers, and writers.

  • 3 studies
  • 6 comparisons
  • 189 original files

Study method

What each comparison tests, what stays fixed, and how to read its measures.

Change studyNative memory systems

13 questions · October 15–20, 2026

October 15 · native retrieval
Same six documents, eight conversation records, two projects, and 13 questions. Each native system supplies context to the same Luna reader.
October 20 · version check
A separate ARM64 nightly run on the retained inputs. Its three native Agent probes are outside the 13-question result.

Answer completeness and exact quote binding are checked separately.

Conditions

Inputs, shared settings, and execution environment
  • Controlled synthetic text fixtures with real provider calls. Saved outputs are historical observations, not simulated scores.
  • Six text documents, eight conversation records, two projects, and 13 answer attempts; two before updates and eleven after updates and recovery.
  • GPT-6 Luna, OpenAI provider, medium effort, full 128,000 output allowance. Qwen3-Embedding-8B, Nebius, full 4096 dimensions.
  • At most six native knowledge hits and six memory hits, with a common 32 KiB context allowance. Actual granularity, source hydration, platforms, and elapsed conditions differ.

Limits

What this study can and cannot support
  • A small diagnostic pass, not a general intelligence ranking or a statistically stable quality order. Repeated questions share facts and are not independent projects.
  • A matching literal quote proves source binding. It does not prove semantic entailment, complete answers, tenant isolation, or customer acceptance.
  • Missing or infrastructure-invalid measurements remain unavailable. They are not semantic zeros. Research evidence is neither Calibration nor Official Core evidence.
  • No system speed ranking: execution platforms, recovery, host load, vector reuse, and context sizes differ.
  • RAGFlow nightly: three separate native Agent sessions used Memory Retrieval, but all structured references were null; one historical answer mixed later policy. They are outside the 13-question denominator.

Compared versions

3 profiles · recorded model, version, and settings
Exact configurations in the selected study
Profile Version or modelConfiguration
OpenViking0.5.0
Settings
reader
openai/gpt-6-luna
effort
medium
embedding
Qwen3-Embedding-8B · Nebius · 4096 dimensions
platform
AMD64 ingestion; ARM64 recovery
RAGFlow nightlyv1.0.0-rc2-48-g7eb673bfc
Settings
source
7eb673bfc3ab1cc22532fe23a1e9bb85c34e48bd
image
sha256:002f50e053e9c5081610c9b0bb9f07a190cb240e1c983cadc9f0e4364dec9153
reader
openai/gpt-6-luna · medium
embedding
Qwen3-Embedding-8B · Nebius · 4096 dimensions
platform
Native ARM64
RAGFlow rc11.0.0-rc1
Settings
reader
openai/gpt-6-luna
effort
medium
embedding
Qwen3-Embedding-8B · Nebius · 4096 dimensions
storage
Elasticsearch; seven services