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ForklabsTechnologies
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AI

RAGs

Retrieval-augmented generation over policies, tickets, and product docs — so the model speaks from your corpus, not the public internet.

The problem

Generic models hallucinate policy. Share drives are unsearchable. Staff ping veterans on chat for answers that already exist in a PDF.

How Forklabs approaches it

We chunk and index with permissions intact, evaluate on your real questions, and show sources beside every answer. Stale docs get a freshness flag instead of silent drift.

What done looks like

  • Cited answers from the corpus you approve
  • Access control that matches the source system
  • An eval set you can re-run after every ingest
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Scope RAGs.

Tell us the job to be done. We reply with a written plan — architecture, timeline, and what done looks like.