RAG knowledge assistant
Staff ask in plain language and get answers with the source attached.
How it works · RAG knowledge assistant
STEP BY STEP
In
- Policies
Google Drive
Confluence
- 1
Index01
Approved documents embedded
1,200 docs
- 2
Retrieve02
Relevant passages found
3 passages
- 3
Answer03
Grounded answer with sources
2 sources
- 4
Learn04
Gaps and feedback reviewed
Reviewed
Human checkpoint
Out
- Answer with sources
- Gap report
- Feedback
How it works
01
The problem
Answers are buried in documents nobody can find.
Step by step
- 01Index. Approved documents embedded.
- 02Retrieve. Relevant passages found.
- 03Answer. Grounded answer with sources.
- 04Learn. Gaps and feedback reviewed.Human checkpoint
Tools and control
02
Connects
Qdrant
Supabase
OpenAI
Slack
Built on n8n. Equivalent tools can be swapped in.
Human control
A person stays in control at the "Learn" step. Everything else runs on rules you agree, with every run logged.
More in AI agents
03
AI agents
Tool-using operations agent
An agent completes routine multi-step tasks, pausing for approval where it matters.
See the workflowAI agents
Multi-agent workflows and MCP
Specialist agents share the work, with tools exposed safely through MCP.
See the workflowAI agents
Document AI extraction
Structured data extracted from documents, validated, and filed.
See the workflow
Next step
What would you like to improve?
Tell us what is taking too much time, what is difficult to manage, or what you would like your systems to do differently. You do not need a technical specification to start.