Reference Architecture
B2B SaaS AI Copilot
Embedded AI copilot searching across project docs, tickets, and wikis - driving 23% increase in feature adoption among enterprise accounts.
RAG SystemsSaaS
Illustrative scenario for scoping discussions. For shipped projects with verified metrics, see our work.
The Challenge
Enterprise customers had thousands of documents scattered across integrations. Support tickets about "finding information" grew 40% quarterly. Competitor shipped AI search.
Our Approach
Built multi-tenant RAG pipeline with pgvector, hybrid search, and citation-backed answers integrated into the product sidebar. Role-based access controls mirror existing permissions.
Technologies
RAGpgvectorNext.jsFastAPIRedis
Illustrative Outcomes
Typical targets for this reference architecture - not a named client engagement
- +23%
- Feature adoption
- -31%
- Support ticket reduction
- <2.1s
- Query latency (p95)
- +12%
- Enterprise renewal rate