RAG knowledge assistants with cited answers
Turn one trusted collection of SOPs, policies, manuals, or onboarding documents into an assistant that answers questions and shows the source behind each answer.
When this is a useful first system
The audit checks the real workflow and tool access before we recommend a build. These are the conditions that usually make the first scope practical.
- Staff repeatedly search the same policies or operating documents
- Answers must be traceable to an approved source
- Important knowledge is split across folders or document tools
- Document owners need a clear way to add corrections and updates
How the workflow runs
One path from the original input to a recorded outcome, with the exception route designed at the same time.
01
Prepare the collection
Identify the approved documents, remove obvious duplicates, and establish ownership for updates.
02
Build retrieval
Split and index the material so relevant passages can be found for a specific question.
03
Answer with evidence
Generate a plain-language response from retrieved passages and attach source citations.
04
Evaluate and improve
Test representative questions, capture feedback, and tune retrieval or source material where answers fail.
Included in the handoff
- Ingestion for one agreed document collection
- Citation-backed question answering and a no-answer fallback
- An update and feedback path for the document owner
- A tested question set and operating guide
How your team stays in control
- Only approved source collections are indexed.
- Answers link back to the supporting material.
- Unsupported questions follow a visible fallback instead of a confident guess.
- Permissions, hosting, model data use, and retention are agreed for the chosen architecture.
Questions before the audit
The first call is used to verify the workflow, source material, integrations, approval points, and practical first scope.
What does RAG mean in this system?
Retrieval-augmented generation first finds relevant passages in your approved documents, then uses those passages to prepare an answer. This makes the source inspectable and keeps the first system tied to a defined collection.
Will every answer include a citation?
Citation-backed answers are part of the first scope. The interface and source format determine whether a citation opens a file, document location, or stored passage.
What happens when documents change?
The build includes an agreed update flow for the first collection. The document owner and update frequency are defined during discovery rather than left implicit.
Is our data used to train a public model?
That depends on the model provider and configuration selected for the project. Model data use, hosting, retention, and access requirements are documented before production data is connected.
Bring one workflow to a 30-minute audit.
We will map the workflow, check the tools and approval points, and recommend a focused first scope. No production credentials or private documents are needed for the call.