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08

Document-Grounded Assistant

RETRIEVAL-GROUNDED ASSISTANT

RAG-powered chatbot that answers only from a client’s own documents, with sources cited.

Document-Grounded Assistant — archival documents wired into a single retrieval flow
THE PROBLEM

Answering a question correctly means finding it inside a large, specific set of documents — not guessing at a plausible-sounding response. A general-purpose chatbot has no way to tell the difference.

THE SOLUTION

A retrieval-augmented assistant that answers only from the client’s own document set, with the source passage cited alongside every answer.

How it works

SIGNAL PATH
01

Ingest

The document set is indexed so any passage can be retrieved on demand.

02

Retrieve

A question is matched against the index for the passages most likely to answer it.

03

Ground

The answer is composed strictly from the retrieved passages, not from general knowledge.

04

Cite

The source passage is attached to the answer so it can be checked.

SYSTEM VIEW

A conceptual view of one question resolving into a cited answer. Drawn to explain the flow — no client interface is reproduced here.

EXPLANATORY VISUALISATION — NOT A CLIENT SCREENSHOT

CONVERSATIONLIVE
USER

What’s the notice period in the standard agreement?

ASSISTANT

Thirty days, per clause 14.2 of the standard agreement.

SOURCEStandard Agreement, cl. 14.2
CONFIDENCEGrounded
FALLBACKNone invoked

Result

QUALITATIVE OUTCOMES

Answers stay accurate

Every response is grounded in an actual document, not a general-knowledge guess.

Sources are checkable

Each answer carries a citation back to the passage it came from.