Q2B STUDIO

ENTERPRISE RAG

Enterprise RAG: corporate knowledge with AI

We build retrieval + generation on your real sources, with permissions, quality evaluation and data governance.

Implement RAG

Enterprise RAG: corporate knowledge with AI

An enterprise RAG implementation matters when you need a multi-source governed RAG hub, not only a SharePoint connector. Before selecting tools, we define journeys, permissions, data and supervision criteria so the agent operates under your company's control.

We work from Barcelona and Madrid and remotely with teams across Spain, Europe, LATAM and the United States. The process combines discovery, access hardening, verifiable releases and operational documentation.

We hand over code, repositories, configurations, skills and documentation in accounts owned by your company. You can audit, rotate credentials or change supplier without lock-in.

We build retrieval + generation on your real sources, with permissions, quality evaluation and data governance. That is why we prioritise a governable, measurable agent ready to evolve without rebuilding its foundations.

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THE CHALLENGE

The challenge of an enterprise RAG implementation

knowledge is scattered and answers are unreliable

  • Generic answers without context

    An assistant without access to internal knowledge answers with information that does not apply to the business.

  • Outdated, scattered documentation

    Knowledge lives in wikis, PDFs and folders with no order, impossible to retrieve when needed.

  • Invented answers

    Without a reliable base, the model hallucinates data and references that erode trust.

APPROACH

How we fix answering from corporate sources

We move forward with measurable decisions and releases that already add value.

  1. Knowledge inventory and cleanup

    We locate relevant sources and organize them so they are retrievable and traceable.

  2. Indexing and semantic retrieval

    We build a vector index that finds the relevant fragments for each query.

  3. Generation with cited sources

    The model answers backed by retrieved documents and cites where each piece of data comes from.

  4. Evaluation and continuous improvement

    We measure accuracy and coverage with real cases and adjust indexing and prompts iteratively.

DELIVERABLES

What an enterprise RAG implementation leaves ready

We deliver an operational foundation your team can govern and keep improving.

  • Prepared knowledge base

    Organized, updated sources with traceability of each document's origin.

  • Operational RAG system

    Assistant that answers with business context and verifiable document references.

  • Accuracy evaluation set

    Test cases with expected answers to measure quality repeatably.

  • Coverage and confidence report

    Accuracy metrics, cited sources and detected knowledge gaps.

TRUST

Technology applied to real operations

We design RAG with evaluation, permissions and explicit sources of truth.

  • Scope, assumptions and risks visible before the deployment is committed.
  • Least privilege, secrets and systems of record defined from the design stage.
  • A measurable first release before expanding channels or departments.
  • Code, configuration and documentation under your company's control.

FAQ

Questions about enterprise RAG

Have a project in mind?

Tell us what you need around enterprise RAG. We will help you turn it into a clear, viable delivery plan.

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