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Search & Knowledge

RAG Knowledge Assistant

Ask questions against your own documents and get cited answers.

Common use cases

  • Employee onboarding Q&A
  • Sales enablement (product, pricing)
  • Customer self-serve docs
  • Policy and compliance lookup

Why this fits

  • Organizations with sprawling internal docs
  • Use cases that need citations and traceability

Watch-outs

  • Tasks that require multi-step reasoning across systems
  • Workflows with very little written documentation

Key features

  • Source-cited answers against your own docs
  • Per-user access control at retrieval time
  • Connectors for SharePoint, Drive, Notion
  • Freshness and stale-content monitoring
  • Faithfulness and citation evaluation

Key benefits

  • Shorten onboarding ramp for new hires
  • Stop interrupting subject-matter experts
  • Make institutional knowledge searchable and trusted

Business view

Effort
Medium
Time to value
4-8 weeks
Category
Search & Knowledge

Expected outcomes

  • Faster ramp for new hires
  • Less time hunting for docs
  • Reduced expert interruption

ROI levers

  • Time savings per knowledge worker
  • Lower training cost

Try it

Live demo

A lightweight, real AI demo powered by Lovable AI. Inputs are sent to a hosted model — keep it short.

Knowledge base: Acme returns, shipping, warranty, and support policies.

Try an example

Recommended approach

Embeddings + vector DB + LLM with citation-required prompting and per-user ACLs.

Risk, liability & governance

General guidance for this category — confirm specifics with your legal, security, and compliance teams.

Risks

  • Stale or out-of-date answers when indexes lag
  • Over-broad permissions surfacing restricted content
  • Confident answers without citations

Liabilities

  • Unauthorized disclosure of confidential or regulated information
  • Decisions made on outdated policy or guidance
  • Breach of confidentiality obligations with customers or partners

Governance controls

  • Enforce source ACLs at query time, not just at ingestion
  • Require citations and show source freshness
  • Document index scope, refresh cadence, and excluded sources
  • Access reviews and query auditing

Pilot plan — next steps

  1. 01Pick one knowledge domain (not all of them)
  2. 02Clean the source set; remove duplicates and outdated docs
  3. 03Enforce ACLs at retrieval, not just at the UI
  4. 04Run a faithfulness eval before launch

Also consider

Ready to put AI to work?

Dr. Marcia Hawk helps organizations turn AI recommendations into real business outcomes — from strategy to pilot to scale.

Book a free strategy call →