RAG & Knowledge Systems
Build RAG pipelines that keep Claude answers grounded in your docs, tickets, and product data, with evaluation harnesses that measure faithfulness, coverage, and latency before you scale.
Timeframe
3-6 weeks
Deliverables
3 items
Approach
Claude agentic harness
Best for
Ops & product teams
What's included
- Document ingestion pipelines
- Vector search and hybrid retrieval
- Claude grounded generation
- Citation and source UX
- Quality eval harness
How we deliver
Corpus audit → chunking and metadata strategy → index build → Claude grounded generation → citation UX → faithfulness eval harness → continuous re-ingest. Quality gates block bad answers before they reach users.
Who it's for
Enterprises with dense docs, tickets, or product knowledge who need reliable retrieval-augmented answers with auditability.
Deliverables
- Production RAG stack
- Eval dashboard
- Ops documentation
Related work
Sadin : AI Investor Concierge
Investor-facing experience with a Claude knowledge agent that answers service questions, captures intent, and routes high-value conversations to humans.
View project →Ready for agentic AI?
Book a free call. We will map your workflow to a Claude harness and a delivery plan your operators can trust.