Chunkless RAG
The QAG Engine · Chunkless RAG for regulated decisions
QGI's reasoning layer. No chunk retrieval — seven decision signals surface conflicts before generation.
Traditional RAG vs. Chunkless RAG
Same question, two architectures — chunk-and-hope vs. reason-over-structure with named signals.
Traditional RAG
- Chunk documents at ingestion — lose cross-rule structure
- Retrieve by cosine similarity — silent gaps and contradictions
- LLM composes a post-hoc rationale after answering
- Non-replayable — same query, different answer tomorrow
Chunkless RAG (QAG)
- Q-Prime encodes the full corpus — polarity, scope, dependencies intact
- Seven decision signals surface conflicts before generation
- Explanation is the decision — same graph, same trace
- Deterministic — replayable bit-for-bit on auditor request
Seven decision signals before generation
Log, threshold, and review each signal independently — no data-science team required.
Relevance
On-topic for this decision?
Conflict
Rules or sources disagree — surfaced for review.
Overlap
Same situation, different wording.
Redundancy
Repeated information in the retrieval set.
Coverage
Missing rules or overlays before generation.
Coherence
Fragments form a consistent narrative?
Topology
Shape of the reasoning graph — auditable.
Composition
Read together
Signals gate generation — proceed when policy matches, or escalate for human review.
What the engine is
Seven decision signals
Log, threshold, and review before generation — not buried in latent space.
Deterministic reasoning
Same input, same trace. No temperature drift on compliance decisions.
Replayable inference
Q-Prime encoding, signal values, and reasoning path stored per decision.
Commercial tiers
Startup through OEM. Preview is free — contact us for pricing.
Supersedes traditional RAG
Reason over structure, not chunks. Conflicts surface upstream of generation.
Works with any LLM
Reasoning platform, not a model. Pair with your provider or Qualtron.
Integrates with Q-Prime
Structured encoding powers the signals. Other embeddings lose interpretability.
Public preview
Evaluation-grade access now. Scoped FS and insurance demos via engagement.
Evaluated inside enterprise AI Governance frameworks
FS and insurance teams evaluate Chunkless RAG inside AI Governance frameworks — audit-grade trails per decision.
See enterprise evaluation announcements → What is Chunkless RAG?
QGI's QAG category: encode the full corpus with Q-Prime, reason without chunk retrieval, emit seven decision signals before generation. Contradictions are reviewable states, not hallucinations.
What are the seven decision signals?
Relevance, Conflict, Overlap, Redundancy, Coverage, Coherence, Topology — each a scalar you can log and threshold. High Conflict + low Coverage is a gate before generation.
How do I get preview access?
Request access above with your workflow. We onboard a limited number of evaluation partners monthly.
Does QAG work without Q-Prime?
Yes, but you lose structural guarantees behind the signals. Most teams deploy Q-Prime and QAG together.
Move past chunked retrieval.
Request preview access for a scoped FS or insurance evaluation.
Request preview access →