Comparison
Chunkless RAG vs Traditional RAG
FS and insurance run on rulebooks. Traditional RAG chunks and hopes. Chunkless RAG (QAG) reasons over structure.
Side-by-side
Side-by-side for regulated workflows.
| Dimension | Traditional RAG | Chunkless RAG (QAG) |
|---|---|---|
| Encoding | Dense vectors over fixed chunks | Q-Prime hypergraph — polarity, scope, dependencies preserved |
| Retrieval | Top-k cosine-similar chunks | Structural reasoning over full rulebook — no chunk boundary |
| Contradictions | Silently averaged; surfaced only if LLM mentions them | Explicit Conflict signal before generation |
| Coverage gaps | Often hallucinated away | Named Coverage signal — route gap before shipping |
| Audit replay | Reconstruct from logs; answers may drift | Bit-for-bit trace: encoding, signals, reasoning path |
| Regulated FS fit | FAQ Q&A; struggles on overlays and rulebooks | Built for FS/insurance where wrong answers are audit events |
FAQ
Common questions.
What is chunkless RAG?
QGI's QAG: Q-Prime encodes structure, QAG Engine reasons without chunk retrieval, seven HSC signals replace similarity scores.
When should I keep traditional RAG?
Low-stakes FAQ and internal search. For mortgage, credit, claims, AML — use Chunkless RAG.
How does QAG relate to Hybrid, Graph, and Agentic RAG?
Those improve recall or flexibility. QAG surfaces contradictions and gaps as signals before generation — a different category.
Do I need quantum hardware?
No. Runs on NVIDIA CUDA-Q and commodity GPUs. "Quantum" refers to the structural representation.
How do I evaluate QAG?
Request preview access or scope a demo. Documents QAG is a drop-in path from NVIDIA RAG.
Bring us a regulated workflow.
Preview access, scoped demo, or Documents QAG migration from NVIDIA RAG.