RAG Readiness & Corpus Assessment

A corpus is ready for RAG only when sampled sources can answer the intended questions under recorded authority, access, freshness, coverage, and ownership conditions.

A source inventory can look complete and still fail on the questions that matter. We sample the corpus, test its access and answerability, and identify the work required before a RAG build can rely on it.

Whether to proceed, narrow the use case, or pause becomes a recorded call, backed by the readiness dossier, ranked corpus gaps, and named remediation owners.

Discuss this workView the parent service
Illustration of RAG Readiness & Corpus Assessment: a team wiring a document pipeline into a retrieval system

Some of the 500+ brands we've worked with

See all references
  • A101
  • Red Bull
  • Güven Hastanesi
  • MNG Kargo
  • HangiKredi
  • Gusto
  • Lezzet

Steps, gates, and who decides

How we work

The assessment begins with the questions people expect the system to answer. We trace those questions to representative sources, record the gaps, and make a readiness call for each use case.

  1. Set the assessment boundary

    We agree which use cases are being assessed, which sources represent them, who owns those sources, and who can decide whether the build proceeds.

    AI assist
    A first pass groups the evidence into candidate questions and source types.
    Human gate
    Are the questions, sources, owners, and decision boundary clear? Your knowledge owner confirms the use cases and decision boundary.

  2. Inspect the corpus

    The sample is checked for authority, access, structure, metadata, quality, coverage, freshness, and answerability. A missing permission or disputed source owner stays visible as a gap.

    AI assist
    Flags missing evidence and contradictory ownership found during the sample.
    Human gate
    Does the sample represent the important source types and failure slices? Your source owner confirms which gaps are genuine versus missing evidence.

  3. Test readiness and exceptions

    Representative questions and difficult exceptions show where the corpus holds up and where it does not. We also check whether the proposed use case has quietly expanded beyond the evidence reviewed.

    AI assist
    Generates adverse information-need cases to surface unsupported readiness claims.
    Human gate
    Which use cases pass, pass with remediation, or should stop? The person with the authority to call it decides which use case passes, needs remediation, or stops.

  4. Prioritize the remediation path

    We put the corpus fixes in decision order, with an owner and review date for every critical gap. Your authority chooses whether to remediate, narrow the use case, proceed, or pause.

    AI assist
    Ranks remediation items by affected use case for the priority draft.
    Human gate
    Does every critical gap have an owner and next review point? Your authority decides whether to remediate, narrow scope, proceed, or pause.

Named artifacts you keep

What you get

The result separates usable source paths from the ones that need repair, a smaller use case, or evidence that was not available during the review.

  • Roadmap

    RAG readiness dossier and corpus remediation plan

    The readiness decision by use case, with source authority, access, structure, quality, coverage, freshness, and answerability findings.

  • Risk register

    Sampled corpus gaps and source-dependency inventory

    The sampled evidence, assessment assumptions, cross-team dependencies, unresolved questions, and critical exceptions.

  • Test evidence

    Readiness evaluation and critical-exception record

    The test cases and findings used to assess answerability, coverage, freshness, access, and other critical corpus slices.

  • Decision record

    Accepted readiness status and next-review log

    The accepted readiness status, remediation conditions, owners, unresolved risks, and next review date.

Scope and honest limits

When to bring us in

Use this assessment when the build idea is clear but the source material, access, or ownership behind it is still uncertain.

A good fit when

  • Priority questions and source owners are known, but the representative documents still do not show whether the corpus can answer them.
  • The corpus inventory looks complete, yet access, freshness, coverage, or answerability may still block the planned use cases.
  • Corpus fixes are piling up, while the person who must decide whether the RAG build proceeds lacks a ranked remediation path.
  • Your source authority and access are recorded, but structure, quality, coverage, freshness, and answerability have not been tested together.
  • Representative documents exist, yet dependencies, failure cases, and critical exceptions are missing from the readiness evidence.
  • Readiness tests produce gaps, but remediation priorities, owners, and the final build decision are not connected in one record.
  • A use case is marked ready, while the handoff into corpus improvement or RAG implementation still exceeds what the review covered.

Better handled as other work when

  • You want the sampled-source readiness call accepted as a regulatory filing or audit determination. Legal effect and certification remain with your authority.
  • You need the corpus to answer every current or future question, although the assessment covers only sampled sources and intended use cases.
  • You need corpus remediation, new data acquisition, or production implementation delivered, because this assessment stops at the readiness handoff.

If one of these is closer to your situation, start here instead: View the parent service

Engineers who ship production AI

This is the part of Zeo that writes and ships code. Our senior engineers build agents, chatbots, and RAG pipelines, along with the automation and data work around them, and they keep operating those systems once they're live. We've worked with more than 500 brands since 2011.

Content we've produced on this topic

Articleby Didem HimmetliMaximizing the Power of AI Assistants in Data Analysis

Tools we use

Tools behind this work

  • LlamaIndex

    the quick throwaway index the sampled corpus gets test-queried through

  • Chroma

    the lightweight local vector store the sample corpus gets indexed into for testing

  • Voyage AI

    the embedding model isolating whether a retrieval failure is the corpus or the model

  • Ragas

    the answerability score this page's readiness test is actually built around

  • Jupyter

    the notebook making evidence transparency a rerunnable calculation, not a claim

  • Label Studio

    the review interface turning a vague 'looks complete' worry into recorded specific failures

Next step

Decide what the corpus can support before you build

Bring the priority questions, a representative source sample, and the people responsible for it. We'll define a readiness review that is large enough to support the build decision.
Talk to Zeo

Before you decide

Questions we hear a lot

We need the intended information needs, corpus inventory, source authority and owners, access conditions, representative examples, current constraints, and existing evidence, plus the person who will accept the result. Sensitive sources don't enter the assessment until their purpose, owner, retention rule, and access boundary are recorded.