Support Copilot
A support system that uses company context to understand internal documentation and resolve complex customer requests.
Reference and concept systems built internally. Figures describe system scope, not client results.
- Industry
- Software
- Discipline
- RAG / Experience
- Status
- Concept system
CH.01Overview
The system at a glance
- 18
- knowledge sources
- 03
- retrieval layers
- Cited
- every answer
CH.02Problem
Where it was breaking
This concept addresses support knowledge spread across product documentation, internal notes and resolved tickets, where finding the right source can take longer than resolving the request.
CH.03Approach
Design the decision, then automate it
The retrieval design follows a support investigation sequence: product area, account context, version and previous resolution patterns, not semantic similarity alone.
CH.04Architecture
How an answer gets grounded
The system is not allowed to answer from memory. Context is assembled, sources are retrieved, and anything under the confidence floor becomes a person's problem with the evidence attached.
CH.05System
Built for real operation
The concept assembles grounded answers with transparent citations, review indicators and the customer context needed to take the next action inside a helpdesk.
CH.06Results
What this build demonstrates
The interface demonstrates how a grounded answer can keep its sources visible and how unresolved cases can hand off cleanly to a person instead of guessing.
Technology
- Next.js
- Anthropic
- Python
- pgvector
- PostgreSQL
- Vercel
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