A pre-built, highly configurable RAG system that deploys to your infrastructure in weeks — not months. You own the code. You own the data. I configure, deploy, train your team, and leave.
Santosh Kumar Dubey — RAG architect with a decade of experience building production data and retrieval systems for enterprise and SaaS teams.
Designed for SaaS, internal knowledge assistants, and enterprise document systems.
⚡ Early Customer Offer: 2 pilot slots available at $2,500 — full deployment, you own everything.
The hard infrastructure problems are already solved. I customize the last 20% for your data, your users, your requirements.
I'm taking on 2 early customers at a heavily discounted rate. You get the full engagement — context gathering, deployment, quality validation, team training, and 30-day warranty. In exchange, I ask for a written case study after delivery. Typical rate is $15K+. This is a one-time pilot offer.
Reply with your use case and team size. I'll confirm fit within 24 hours.
A structured process. I assess, configure, deploy, train — and hand over a system your team fully owns.
Understand your business domain, data sensitivity, document structure, retrieval requirements — latency, accuracy, cost tolerance — and end-user roles and access patterns.
2–3 daysConfigure the pre-built system to your specifications. Build the data adapter. Deploy to your cloud account. Wire data sources. Run ingestion. Validate retrieval quality against your real data.
1–2 weeksTune retrieval accuracy, calibrate thresholds, run benchmarks. Train your internal engineering team to own, operate, and extend the system independently.
3–5 daysI leave. You own the code, the infrastructure, everything. 30 days of warranty support included — bug fixes, config adjustments, retrieval tuning as your team ramps up.
IncludedA complete RAG pipeline — pre-built, tested, and ready to configure for your data.
Ships with battle-tested defaults. Swap any component to match your infrastructure — zero lock-in.
Default: Bedrock Nova Lite
Default: Bedrock Titan v2 · 1024-dim
Default: Pinecone · Hybrid dense+sparse
Default: Bedrock Rerank v1 · Hybrid
Default: AWS SAM · Serverless Lambda
Default: CloudWatch · Query logs · PII filter
Every component is config-driven and swappable. Bring your own LLM, vector DB, or cloud provider.
RAG-CDS adapts to different domains and scales. Here's what teams typically deploy.
AI answers from your tickets and knowledge base.
Customer SupportSearch thousands of internal docs in seconds.
EnterpriseNatural language search over product documentation.
SaaS / Product| Aspect | Traditional | With RAG-CDS |
|---|---|---|
| Time to production | 10–14 weeks | 2–3 weeks |
| Engineering effort | Full team, months | Configuration + tuning |
| Observability & evaluation | Build from scratch | Included |
| Security & compliance | Bolt on later | Built in from day one |
| Knowledge transfer | Tribal knowledge | Documented + team training |
Results from internal benchmarks. Actual performance varies by data and configuration.
Using a proprietary RAG deployment accelerator designed for production systems.
Used for RAG systems handling 100K+ documents and enterprise knowledge bases.
⚡ Early Customer Offer: $2,500 pilot · Full deployment · 2 slots remaining
Typical rate $15K+ · Fixed scope · Delivered in 2–3 weeks
A fraction of the cost and time of building RAG internally