Quaerens AI Labs Vol. I · Inquiry as Method · MMXXVI
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QA Arena Inquirer Knowledge Graph Methodology Work with us →
Knowledge Graph

Mapping the infinite coordinates of inquiry.

The graph maps the question space — linking taxonomy, routing lenses, and source strategies to the literature and tools that ground them.

Notebook diagram — four KG layers (qa-taxonomy, qa-lens, qa-sources, qa-research) mapping to five concepts (DNA, Purpose, Lens, Source, Links) on a shared substrate

Fig. 1 — four layers, five guiding questions, one shared substrate

§ 01 Five guiding questions
01
DNA
How do I classify a question?
02
Purpose
Why generate questions?
03
Lens
How do I frame the inquiry?
04
Source
Do I need to enrich my sources?
05
Links
Which papers and tools matter?
§ 02 Four layers
Layer 1
qa-taxonomy

The DNA & Purpose

Establishes the structural coordinate system of the question space. Deterministic and LLM-judge evaluators check whether a generated question meets its taxonomic constraints — testing reasoning, not just recall.

Layer 2
qa-lens

The Routing Lens

Routes messy user goals to specific generation strategies. It reads the target goal and source context to choose the right lens — an adaptive interview for discovery, a direct pipeline for assessment.

Layer 3
qa-sources

Source Conditioning

Pre-processes source documents to guarantee factual grounding. It categorizes the source shape and recommends an enrichment strategy — chunk maps, clause hierarchies, or semantic graphs — matched to the target taxonomy.

Layer 4
qa-research

Scientific Provenance

The verifiable academic backbone. Every concept links back to its papers and research claims, and the provider registry maps third-party SDK capabilities directly to the strategies they can execute.

The graph is the shared cognitive substrate for the entire ecosystem.

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