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NPLUSGLOBAL
Team gathered around a laptop reviewing an AI prototype

AI & Automation · Generative AI

RAG Knowledge Assistants

Every answer your team needs — with the source attached.

Overview

What is RAG Knowledge Assistants?

We build knowledge assistants that search your policies, product documentation, contracts and wikis, then answer questions with citations, respecting who is allowed to see what.

Retrieval-augmented generation (RAG) knowledge assistants that answer questions from your documents, wikis and systems with cited sources and access controls.

How it works

How RAG Knowledge Assistants works.

From your starting point to the outcomes you can measure.

  1. 01 · Stage

    Triggers

    • Emails & chats
    • Forms & documents
    • CRM & ERP events
    • Schedules
  2. 02 · Stage

    RAG Knowledge Assistants

    • Content ingestion
    • Retrieval tuning
    • Citations
    • Access control
  3. 03 · Stage

    You receive

    • Knowledge assistant
    • Content connectors
    • Evaluation results
    • Admin and analytics console
  4. 04 · Stage

    Outcomes

    • Faster answers for employees and customers
    • Responses grounded in approved sources
    • Permissions respected across documents
Your data stays in your environment · every action is logged · people approve what matters
How RAG Knowledge Assistants works: starting from Emails & chats, Forms & documents, CRM & ERP events, Schedules; NPLUS Global delivers Content ingestion, Retrieval tuning, Citations, Access control; you receive Knowledge assistant, Content connectors, Evaluation results, Admin and analytics console; outcomes: Faster answers for employees and customers; Responses grounded in approved sources; Permissions respected across documents.

Capabilities

What our RAG Knowledge Assistants service covers.

01

Content ingestion

SharePoint, Google Drive, Confluence, Notion and more.

02

Retrieval tuning

Search quality optimized for your content.

03

Citations

Every answer linked to its source.

04

Access control

Document-level permissions enforced.

Team gathered around a laptop reviewing an AI prototype

Deliverables

What you receive.

  1. 01Knowledge assistant
  2. 02Content connectors
  3. 03Evaluation results
  4. 04Admin and analytics console

Engagement model

How the engagement works.

  1. Step 01

    Discover

    We map workflows, data and systems to find the use cases with the clearest return.

  2. Step 02

    Pilot

    A working agent or automation is delivered against one high-impact workflow, measured against a baseline.

  3. Step 03

    Harden

    Security, permissions, evaluation and human-in-the-loop controls are added before scale-up.

  4. Step 04

    Scale

    Proven automations are rolled out across teams, monitored and continuously improved.

FAQ

RAG Knowledge Assistants: common questions.

How do you reduce incorrect answers?

Grounding, citations, evaluation and instructions to decline when unsure.

Where is our data stored?

In your cloud or a dedicated environment, based on your requirements.

Can it be customer-facing?

Yes, with content restricted to public material.

Let's talk about what NPLUS Global can do for you.

Tell us about your goals. A specialist will get back to you with practical next steps.