Capability · applied inside an engagement
Industrial RAG & Knowledge
Answers grounded in your technical reality — manuals, specifications, standards and logs — traceable to source, with citations and an evaluation loop that measures unsupported answers.
Frame a knowledge-system decisionHyperion combines product leadership with scoped model engineering and cybersecurity work. A technical mission defines the configuration, adaptation, integration and handover to be delivered; specialist testing and independent qualification are agreed explicitly.
- Controlled corpus
Rights, versions and effective dates
- Access-filtered retrieval
Only the sources this identity may use
- Bounded generation
Answer the task from retrieved evidence
- Check or refuse
Verify citations; escalate missing support
Retrieval does not guarantee truth. Test permissions, source support, refusal and stale-document handling.
Architecture view
Controlled corpus
Access-filtered retrieval
Bounded generation
Check or refuse
Controlled corpus → Access-filtered retrieval → Bounded generation → Check or refuse
A model may have learned industrial knowledge. Approved manuals, specifications, standards and maintenance records remain externally managed sources of authority that can be updated and checked. The decision is not which retrieval library to adopt; it is what an answer must be traceable to before an engineer is allowed to act on it. Hyperion sets that acceptance bar, defines how faithfulness will be measured, and decides whether retrieval is the right instrument at all.
Ingestion and chunking of the source corpus; embeddings and a vector store; retrieval with re-ranking; grounded generation that cites its sources; and an evaluation loop that measures faithfulness — whether answers are actually supported by the retrieved text.
Document parsing for PDFs, tables and scanned documents (OCR); embeddings over pgvector; hybrid retrieval (semantic plus keyword) with re-ranking; citation enforcement so claims link back to source; faithfulness and retrieval-quality evaluation; generation on Mistral or another open-weight model.
Retrieval-connected assistant vs model-only baseline
Compare the same task with and without retrieval from the controlled corpus. Neither arrangement guarantees a correct answer.
| Dimension | Retrieval-connected assistant | Model-only baseline |
|---|---|---|
| Grounding | Controlled corpus plus the model’s learned knowledge | Learned knowledge and the supplied prompt; no controlled-corpus retrieval |
| Traceability | Source links and passage support must be checked | Supporting citations are not established merely by generating them |
| Freshness | Depends on ingestion, version tracking and retrieval coverage | Depends on model release and information supplied in the prompt |
| Access control | Identity and document filtering must be implemented and tested | Application authentication and access controls may still exist |
| Failure mode | Evaluate unsupported answers, refusals and retrieval failures | Evaluate unsupported answers and refusals against the same task |