RAG Consulting · Enterprise

Enterprise RAG Implementation Consulting

Production RAG in the client cloud: hybrid retrieval, per-user ACL at query time, citations required, golden sets in CI — handed over in four weeks.

Service
RAG
Industry
Enterprise
Updated
2026-08-25
Engagement
4 wks
The short answer

Enterprise RAG implementation consulting takes a permissioned corpus into production RAG with hybrid retrieval (BM25 plus embeddings), per-user ACL at query time, required citations, refuse-when-empty, and golden sets plus CI evals — a 4-week standard implementation in the client cloud, with client-owned IP, no shared training, and 30 days on-call after handover.

The premise

Demos fail in production for four reasons: vector-only retrieval, a shared service account, no refuse-when-empty path, and no golden set in CI.

Engagement
4 wks
discovery to production handover
Query-time
per-user ACL on every retrieval
CI gates
golden sets for recall and faithfulness
The path
01Discover
02Design
03Build
04Validate
05Enable

Why teams pick this engagement

RAG × Enterprise

ACL at query time

The retriever filters to the asking user’s entitlements before generation. Service-account-over-the-corpus is not an option.

CI evals from week 3

Hit@k, faithfulness, and citation coverage run as release gates. An index rebuild that drops recall does not ship.

Your stack, your VPC

Indexes, secrets, and traces stay in the client cloud. Model-agnostic connectors; you pay inference.

Identity you already run

Entra ID, Okta, or equivalent groups map onto document ACL metadata. We do not invent a second permission system.

Four-week implementation

Week 1 discovery, week 2 environments, week 3 shadow-mode, week 4 handover. Thirty days on-call after that.

Citation contract

Answers must cite retrieved spans. Empty retrieval refuses. Traces reconstruct which chunks were shown to the model.

Key takeaways

  • 01

    Demos fail in production for four reasons: vector-only retrieval, a shared service account, no refuse-when-empty path, and no golden set in CI.

  • 02

    Per-user ACL at query time is a retrieval filter, not a UI hide. If the chunk can be retrieved, it can be quoted.

  • 03

    Standard implementation is four weeks in your cloud. You own the IP. You pay inference. There is no shared training.

  • 04

    Hybrid retrieval (BM25 plus embeddings) plus a re-ranker is the default; identifiers and rare tokens will not wait for a better embedding model.

  • 05

    Handover includes the eval suite and runbooks. Thirty days on-call is included. Financial services and healthcare follow longer clocks.

What the engagement covers

01

Production Readiness Audit

If you already have a prototype, we score retrieval, ACL, citations, refusal, tracing, and evals against the production bar and write the gap list that becomes the build scope.

02

Hybrid Index and Retriever

Structure-aware chunking, BM25 plus embeddings, re-ranking, and metadata for source, heading path, and ACL — built in the client cloud against the systems you already operate.

03

Query-Time Authorization

Live identity mapped onto chunk ACL at retrieval. Group changes take effect on the next query. No overnight full re-index required for membership updates.

04

Shadow-Mode and CI Gates

Week 3 traffic against a golden set of real questions. Hit@k, faithfulness, and citation checks become CI gates before anyone sees a production answer.

05

Handover in Your Cloud

Client owns IP. Model-agnostic. You pay inference. Fixed-scope fee plus platform fee. Thirty days on-call for index ops, eval triage, and incident response.

How we work

  1. 01

    Discover

    Week 1: corpus, identity, question log, prototype gaps, and a fixed written scope.

  2. 02

    Design

    Chunking, hybrid retrieval, query-time ACL, citation and refusal rules, eval set design, model routing.

  3. 03

    Build

    Week 2: environments in your VPC, index pipelines, retriever, traces, and identity wiring.

  4. 04

    Validate

    Week 3: shadow-mode, golden-set scoring, CI gates, and a written go/no-go.

  5. 05

    Enable

    Week 4: production cutover, runbooks, IP handover, 30 days on-call.

Take the playbook with you

The working documents from real engagements — free, in exchange for an email. They’re useful whether or not we ever talk.

Flagship resource · XLSX · scorecard

Enterprise RAG Implementation Scorecard

Score a prototype on hybrid retrieval, query-time ACL, citations, refuse-when-empty, traces, and CI evals — the six gates we use before calling a system production.

Get the scorecard ·
DOCX · 11 pages

Enterprise RAG Implementation Runbook Outline

The handover document structure: index ops, ACL refresh, eval gates, incident steps, and model-swap procedure.

Get the outline ·
PDF · 6 pages

Query-Time ACL Design Notes

How to store document ACLs with chunks and filter at retrieval against live identity — the pattern that survives audit.

Get the notes ·

Frequently asked questions

how do you implement rag in the enterprise

You implement it as a permissioned retrieval system, not a chatbot wrapper. Hybrid retrieval (BM25 plus embeddings) over a curated corpus, per-user ACL at query time, citations required, refuse-when-empty, golden sets plus CI evals, and traces that reconstruct the prompt. We do that in the client cloud on a four-week standard clock, then hand over IP and stay on-call for 30 days.

why did our rag pilot fail in production

Usually because retrieval was vector-only, a service account indexed everything, answers were allowed on empty retrieval, and nobody had a golden set in CI. Those four show up in almost every rescue. The fix is hybrid retrieval, query-time ACL, a refusal path, and eval gates — not a model swap. We audit the prototype in week 1 and write the gap list before touching production traffic.

how long is an enterprise rag implementation

Standard implementation is four weeks: discovery, environments, shadow-mode, handover. Financial services is typically 8–12 weeks. Healthcare is typically 10–14 weeks. Ecommerce is typically 6–10 weeks. Thirty days on-call follows handover. If ACL or corpus work will not fit four weeks, we re-scope in writing before build.

where does the index run

In the client cloud or VPC. Secrets, traces, and document bytes do not leave your perimeter for a shared platform index. There is no shared training. You own the IP. We are model-agnostic and you pay inference to the provider. That is the default, not an upgrade.

how are permissions enforced

Per-user ACL at query time. Chunks carry the ACL of the source document; the retriever filters to the asking user’s live groups before any text is sent to the model. Hiding a file in the UI after retrieval is not a control. Group membership changes apply on the next query without a full re-embed.

what evals ship with the system

A golden set of real questions with verified answers, retrieval hit@k, answer faithfulness against retrieved context, and a citation-coverage check. Those run in CI. A drop versus the last pin blocks release. We do not treat a vendor leaderboard as a substitute for your questions.

can you use our existing vector database

Yes, if it can store ACL metadata, run hybrid retrieval or sit beside BM25, and stay in your cloud. We are model-agnostic on embeddings and generators. If the current store cannot filter at query time, we say so in discovery rather than wrapping a leak. Client pays inference either way.

what happens after handover

Your team operates the index, evals, and prompts. Client owns IP. Thirty days on-call is included for incidents and eval triage. Commercial terms are a fixed-scope implementation fee plus a platform fee. After the on-call window, further changes are a new fixed scope, not an open retainer unless you ask for one in writing.

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