Use cases

What an early-access deployment looks like.

QueryLlama is pre-launch, so these describe what we're building toward with design partners — not claims about a finished product running for customers today.

Legal & compliance

Find the clause across a thousand contracts.

The challenge. A legal team needs to know which contracts contain a specific indemnification clause, scattered across years of deal folders with inconsistent naming.

With QueryLlama. Keyword search finds the literal phrase; semantic search catches contracts that express the same clause in different words. Every result names the exact file and section, so a paralegal can verify before citing it.

  • Org isolation means outside counsel workspaces stay separate
  • Citations point to file + passage, not just a filename
  • RBAC limits who can see which contract folders
HR & internal policy

One source of truth for 'what's our policy on...'

The challenge. Employees ask HR the same handbook questions repeatedly, and the answer is buried across a handbook PDF, a benefits deck, and a wiki page that may or may not be current.

With QueryLlama. A question like 'what's our remote-work expense policy' is planned to retrieve the relevant passage from whichever document actually contains it, with a citation HR can double-check against the source.

  • Hybrid search surfaces the right document regardless of phrasing
  • Viewer role lets employees search without edit access
  • Citations make it easy to confirm an answer is current
Customer support & success

Answer from the actual product docs, not memory.

The challenge. Support agents answer from memory or outdated internal notes because searching the real documentation takes longer than guessing.

With QueryLlama. The planned RAG layer is designed to let an agent ask a customer's actual question and get a draft answer grounded in current documentation, with a citation to verify before it goes to the customer.

  • BYOLLM lets an enterprise route answers through their preferred model
  • Group-level access keeps support scoped to support-relevant docs
  • Audit log records who asked what, for quality review
Engineering & internal docs

Search runbooks and design docs by what they mean.

The challenge. An incident responder needs the right runbook fast, but searching by exact title fails when nobody remembers what it was called.

With QueryLlama. Semantic search is built to match on what a runbook is about, not just its filename, and hybrid search keeps exact command or error-code matches from getting buried.

  • Semantic search built for 'I know what it does, not what it's called'
  • Org-scoped workspace keeps internal docs separate from customer-facing ones
  • Member role for engineers who search and read, not administer

See exactly how a document goes from upload to answer.

The ingestion pipeline, the search engine, and the question-answering layer — step by step.

How it worksRead the whitepaper

Talk to the team that actually builds the software.

Pilot deployments, volume licensing, product demos, security questionnaires — all handled by engineers and product leads, not a routing layer. We respond within one business day.

Schedule a discovery call
Half-hour walkthrough with someone who built the product — no sales script.
Run a pilot deployment
Full-feature evaluation with guided install, configured for your environment.
Email us directly
sales@royalsoftworks.com — we respond within one business day.
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