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 demoA 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.
Pilot plan — next steps
- 01Pick one knowledge domain (not all of them)
- 02Clean the source set; remove duplicates and outdated docs
- 03Enforce ACLs at retrieval, not just at the UI
- 04Run a faithfulness eval before launch