Proprietary · Config-driven · Production-ready

Deploy Production RAG 5× Faster Than Building From Scratch

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.

Engagements start at $15,000 · Fixed scope · 2–3 weeks

80%
Pre-built core
Faster to production
Weeks
Not months
You Own
Code + Infrastructure
80% Pre-Built. 20% Tailored to You.

The hard infrastructure problems are already solved. I customize the last 20% for your data, your users, your requirements.

80% — Pre-fabricated Core
20%
Already Built & Tested
Ingestion Pipeline
Retrieval Engine
Security & RBAC
Observability
Cache & Scale
Tested & Documented
Custom-Configured for You
Assess Goals
Deploy
Validate Quality
Train Team
How We Work Together

A structured process. I assess, configure, deploy, train — and hand over a system your team fully owns.

1

Context Gathering

Understand your business domain, data sensitivity, document structure, retrieval requirements — latency, accuracy, cost tolerance — and end-user roles and access patterns.

2–3 days
2

Configure & Deploy

Configure 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 weeks
3

Optimize & Train

Tune retrieval accuracy, calibrate thresholds, run benchmarks. Train your internal engineering team to own, operate, and extend the system independently.

3–5 days

Exit + 30-Day Warranty

I 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.

Included
What's Inside the 80%

A complete RAG pipeline — pre-built, tested, and ready to configure for your data.

Data Sources

Ingest

Chunk & Embed

Vector Store

Retrieve & Rerank

LLM

Eval & Monitor

Every layer is configurable. Every component is swappable.
Defaults Included. Every Layer Swappable.

Ships with production-ready defaults out of the box. Swap any component to match your stack — no lock-in.

Cloud or Local LLM

High-Quality Embeddings

Vector DB

Hybrid Retrieval

Cloud-Native Deploy

Observability & Eval

Every component is swappable. No vendor lock-in.

Example Use Cases

RAG-CDS adapts to different domains and scales. Here's what teams typically deploy.

Support Copilot

AI answers from your tickets and knowledge base.

Customer Support

Knowledge Assistant

Search thousands of internal docs in seconds.

Enterprise

Doc Search & Q&A

Natural language search over product documentation.

SaaS / Product
Traditional Build vs RAG-CDS Accelerator
AspectTraditionalWith RAG-CDS
Time to production10–14 weeks2–3 weeks
Engineering effortFull team, monthsConfiguration + tuning
Observability & evaluationBuild from scratchIncluded
Security & complianceBolt on laterBuilt in from day one
Knowledge transferTribal knowledgeDocumented + team training
Teams That Need RAG in Production — Not in Prototype
SaaS companies adding AI-powered search or Q&A
Product teams building AI copilots and assistants
Enterprises with large document knowledge bases
Startups that need production RAG without the 3-month build
Common RAG Problems We Solve
LLM hallucinating answers
Poor document retrieval
Slow response times
Security-sensitive data access
No way to measure answer quality
Stuck scaling beyond prototype
What Teams Achieve with RAG-CDS
85–94%
Retrieval accuracy
< 200ms
P50 query latency
100K+
Documents handled
2–3 wks
To production

Results from internal benchmarks. Actual performance varies by data and configuration.

Ready to Ship RAG in Weeks?

Free 30-minute architecture assessment. No commitment — just a clear picture of your RAG path to production.

Engagements start at $15,000 · Fixed scope · 2–3 weeks

Book a 30-min Architecture Call → Get a Free RAG Architecture Assessment

A fraction of the cost of building in-house