All work
Case study / 04Scope supplied · outcomes unmeasured

RAG Knowledge Assistant

A retrieval-based assistant designed to find relevant documents and return answers with supporting references.

Knowledge systems / FLONVO
01 / Evidence & scopeScope supplied · outcomes unmeasured

Known scope.
Unmeasured outcomes.

No numeric implementation or performance result has been supplied for this project. The process and reporting plan below describe the provided scope.

SUPPLIED FACTS & BOUNDARIES
  • Document retrieval and AI-generated answers are the supplied project scope
  • No dataset size, accuracy score, or measured search-time reduction supplied
02 / System flow

The route through
the work.

Illustrative retrieval flow. Model, corpus, and evaluation details have not been supplied.

PROCESS VIEW / 5 STAGESIllustrative diagram · not a performance result
03 / Operational view

What changes when
the handoffs connect.

THE CONTEXT

Business information can be spread across documents, making it slow to find the right source for a question.

THE CHALLENGE

People need answers they can trace back to source material, with a clear path when a question is ambiguous or a document is missing.

THE APPROACH

Retrieve relevant document passages before generating an answer, and include source references so the response can be checked.

04 / Process comparison

From manual steps
to a clearer route.

Illustrative process comparison; no improvement percentage or answer accuracy is claimed.

TYPICAL MANUAL PROCESS
01

Search through documents

02

Compare possible sources

03

Compose an answer manually

DESIGNED AUTOMATED FLOW
01

Retrieve relevant passages

02

Generate an answer

03

Check supporting references

05 / Business impact

Value is a question
to measure.

This approach can reduce manual searching when relevant information is available. No accuracy score, dataset size, or percentage improvement has been supplied.

NO QUANTIFIED RESULT PUBLISHED

Track the operating metrics below before reporting a time saving, response-time change, or accuracy claim.

06 / Performance reporting

What the team
should watch.

These are reporting definitions, not live dashboard results. Values remain blank until measured after deployment.

01To track
Questions submitted

Questions entered by users.

questions / period / value pending
02To track
Successful document retrievals

Queries that return relevant source material.

retrievals / period / value pending
03To track
Average answer generation time

Elapsed time from question to completed answer.

seconds / value pending
04To track
Questions requiring additional clarification

Questions that need more context before an answer is useful.

questions / period / value pending
05To track
Responses with supporting source references

Share of answers containing supporting source references.

% / value pending
06To track
User feedback

Feedback on usefulness and source relevance.

ratings / period / value pending
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