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RAGBEE™ Architecture for Production AI Systems

A named, integrated 9-framework system for designing, evaluating, and operating production-grade AI agents

AgentOps is the operating discipline built on RAGBEE™. CCC is the specialization path where you apply it.

Most AI systems don't fail because of prompts.
They fail because no one designed the architecture to survive production.

If you cannot defend your architectural decisions under production constraints — you're not production-ready.

AgentOps is the operating discipline derived from RAGBEE™ — enforcing reliability, governance, and cost control in production AI systems.
Structured learning through PractaThon™ methodology across 3 progressive levels.

Career progression: ₹8-15L → ₹40-60L+ | 8-28 weeks, systematic mastery

The gap between building AI demos and operating AI in production is where careers are made. This is where you start.

🎯 Attend Next Live Session Ready to Enroll? Skip to Pricing →

Not sure yet? Attend the 90-minute live session first to see RAGBEE™ in action.

3
Zones
6
Layers
9
Frameworks
∞
Industries
🏢 PLATFORM ZONE
"The Governor"
Central Orchestration • Policy Enforcement • State
↕
🐝 COMMUNICATION LAYER
"The Bridge"
Message Queue • Event Stream • Health Monitor
↕
🤖 AGENT ZONE
"The Workers"
RAG • Tool • Planner • Critic • Router • Domain

9 Integrated Frameworks

Foundation → Hardening → Optimization
The systematic path to production-ready AI

PRIMARY ARCHITECTURE

Introducing RAGBEE™ Architecture

The Blueprint for Production CoPilots

RAGBEE organizes production AI architecture into three progressive zones, each with specific frameworks.

Ship + Reliable > Production-Ready

Each framework exists because production failures are predictable — and preventable.

3 Zones • 6 Layers • 9 Frameworks • 8 Lifecycle Phases

Backed by internal specs, decision logs, failure playbooks, and metrics frameworks.

📦 WHAT YOU RECEIVE
  • • PractaThon™ Implementation Packages
  • • THINK4 + LEAF guided execution
  • • Skills to build production CoPilots
  • • Portfolio-grade evidence YOU create and own
🔒 INTERNAL (Powers the program — not delivered)
  • • RAGBEE™ Architecture Specs
  • • Decision Logs & Failure Playbooks
  • • Metrics Frameworks & Assessment Rubrics

You don't buy files. You build systems.

Core Pipeline

🔀

RAGBEE-Flow

Multi-agent workflow orchestration. Define what happens, in what order, with what fallbacks.

🤖

RAGBEE-AgentKit

7 pre-built agent types. Base classes, lifecycle management, tool wrappers.

🛡️

RAGBEE-Reliability

Production guarantees enforced. Circuit breakers, retry logic, R0-R4 levels.

Quality & Governance

📊

RAGBEE-Eval

"What you don't measure, you can't improve." Quality testing, golden datasets, 5 dimensions.

🔒

RAGBEE-Guard

"Safety is not a feature. It's a requirement." PII detection, prompt injection, policy engine.

💰

RAGBEE-FinOps

"Every token has a cost. Spend wisely." Budget controls, model routing, cost forecasting.

Operations

👁️

RAGBEE-Observe

"You can't fix what you can't see." O0-O4 levels, Langfuse integration, distributed tracing.

⚡

RAGBEE-Velocity

"Fast enough is a requirement, not a luxury." V0-V4 tiers, latency budgets, caching strategies.

📦

RAGBEE-Data

"Quality in, quality out." Chunking strategies, embedding pipelines, hybrid search.

OPERATING STANDARD

AgentOps — The Operating Discipline Built on RAGBEE™

Architecture defines structure. Operations enforce it. AgentOps is the discipline of running AI agents in production with governance, observability, and reliability engineering built on RAGBEE™.

What is a CoPilot?

An AI assistant that works alongside humans — like GitHub Copilot or Microsoft Copilot. You'll learn to build these for ANY business domain.

Legal CoPilots Finance CoPilots HR CoPilots Ops CoPilots Any Domain

What is an AI Generalist?

A professional with RAGBEE 100% mastery who can build production CoPilots across ANY industry — not locked into one domain.

  • ✓ Build CoPilots for any business domain
  • ✓ Career insurance — your skills transfer everywhere
  • ✓ Skills demanded by top-tier AI teams globally

The Gap No One Talks About

Tutorials teach you 20% of what production needs. We teach the other 80%.

✗ Tutorial AI

  • ✗ Works in Jupyter notebooks
  • ✗ No error handling
  • ✗ No observability
  • ✗ Single query demo
  • ✗ No security model
  • ✗ Copy-paste code
Looks impressive. Your CoPilot fails at 2 AM.

✓ Production CoPilots

  • ✓ Deploys to production
  • ✓ Handles failures gracefully
  • ✓ Full tracing & metrics
  • ✓ Multi-agent workflows
  • ✓ Enterprise-grade security
  • ✓ Architectural patterns
Actually ships. Your CoPilot works at 2 AM.

This Is Not an AI Tools Course. This Is Operator Training.

If AI tools improve, your value increases.
If they fail, your value increases more.

Most AI system failures don't come from bad prompts. They come from missing guardrails, no cost controls, and no plan for when things break.

We don't train AI users. We train AI system operators.

Learners graduate knowing not just how to build — but when not to deploy.

🚫 This is NOT for you if:

You want shortcuts or quick certificates

You're new to Python (<2 years experience)

You prefer watching videos over building systems

You expect guaranteed job placements

We're selective because our methodology demands commitment. If you're ready to build, we're ready to teach.

Why Your CoPilot Won't Crash at 2 AM

Every system you build with RAGBEE™ comes with these guarantees built-in.

Most tutorials teach the happy path. We teach what happens when things break.

⏱

Bounded Execution

Every agent has time, token, and action limits

💾

Recoverable State

All actions checkpointed; failures recover gracefully

🔒

Failure Isolation

Failures never cascade across agents or services

👁

Observable by Default

Every action logged, traced, and correlated

📉

Graceful Degradation

Systems degrade to fallbacks, never hard-fail

🎛️

Controlled Autonomy

Every agent has explicit authority boundaries. No agent operates independently without a logged decision trail.

The TVH Ecosystem

Four components. One transformation.

  • CCC Foundation you master — Common Compliance Copilot architecture
  • RAGBEE™ Architecture you build with — 9 integrated frameworks
  • PractaThon™ Proof you produce — Evidence Packs, not certificates
  • AgentOps Standard Progression requires proving you can handle failures, control costs, and explain your system's behavior — not just ship working code.

FRAMEWORK DEMONSTRATION

Live Production Architecture Session

See RAGBEE™ Applied Live

90-minute framework demonstration showing how RAGBEE structures a production compliance agent from architecture to deployment.

📅 March 5, 2026 • 7:00 PM IST • 90 Minutes
Live Only — No Replay

RAGBEE™ Live is a 90-minute, execution-first session for professionals who already know what RAG is—but want to understand how production teams actually build, evaluate, and operate RAG systems in real companies.

This webinar cuts through demos, hype, and surface-level tutorials to expose the real gaps between "it works on my notebook" and "it survives in production."

In 90 Minutes, You'll See:

  • ✔ Why most RAG implementations fail after pilots
  • ✔ What skills companies truly look for beyond prompts and frameworks
  • ✔ How production-grade thinking separates mid-level from senior-level outcomes
  • ✔ Live RAGBEE™ architecture walkthrough (no slides-only sessions)

This Session Is For You If:

  • • You've built RAG demos but they never made it to production
  • • You're stuck in the ₹8-15L band and want to understand the ₹25-40L skill gap
  • • You're tired of tutorials that don't translate to real work
  • • You want to see what production teams actually do differently
Register for Production Architecture Session →

Not a sales pitch. A working session.

Already convinced? Skip to enrollment →

APPLICATION TRACK

Become an AI Generalist

Compliance Copilot Course (CCC) is where you apply RAGBEE™ architecture through building production compliance agents across 3 progressive levels.

This is not priced like a course. It's structured like a capability upgrade.

Level 1
SkillLaunch
→ You become: AI Generalist (Foundation)
You'll thrive here if you: 2+ years hands-on Python, SQL basics, cloud familiarity
₹24,999
8-10 weeks
RAGBEE Coverage
30%
  • ✓ Full 6-Layer Architecture
  • ✓ Basic Reliability Patterns
  • ✓ Simple RAG Flow
  • ✓ 10 PractaThon™ Missions
  • ✓ 3 PractaThon™ Attempts Included
  • ✓ 3-4 Portfolio Projects
  • ✓ Lifetime Content Access
  • ✓ Lifetime Tribe Access
Indicative Market Bands
₹15-25L
Enroll in L1 — ₹24,999

Not sure? Attend the live session first

Level 2
SkillElevate - ProTrack
→ You become: AI Generalist (Production-Capable)
Prerequisite: L1 Complete
₹57,999
16-18 weeks
RAGBEE Coverage
60%
  • ✓ L1 Content (Lifetime)
  • ✓ L2 Content (12 months from unlock)
  • ✓ Full Reliability Patterns
  • ✓ Multi-Agent Flows
  • ✓ 12 PractaThon™ Missions
  • ✓ 3 PractaThon™ Attempts Included (per level)
  • ✓ Lifetime Tribe Access
Indicative Market Bands
₹25-40L
Continue to L2
Level 3
MasteryX
→ You become: AI Generalist (Certified)
Prerequisite: L2 Complete
₹99,999
24-28 weeks
RAGBEE Coverage
100%
  • ✓ L1 Content (Lifetime)
  • ✓ L2 Content (12 months from unlock)
  • ✓ L3 Content (12 months from unlock)
  • ✓ 35 PractaThon™ Missions Total
  • ✓ 3 PractaThon™ Attempts Included (per level)
  • ✓ Lifetime Tribe Access
  • ✓ 1:1 Architecture Review
Indicative Market Bands
₹40-60L+
Continue to L3

Certification Policy: Certification is awarded only after successful completion of PractaThon™ missions evaluated using a strict rubric.

"No pressure. No fake urgency. If you're ready, we're here."

📋 How Pricing Works

Levels are cumulative. L2 includes everything in L1. L3 includes everything in L1+L2. No separate bundles needed — each level builds on the previous.

🚀 TechVoyageUp™ — Your Growth Path

Tribe members get exclusive access to monthly sessions — move across levels and tracks at discounted pricing. Start anywhere. Grow everywhere.

Included with L1
Lifetime tribe access

Target salary ranges reflect market data for these roles, not guarantees. Your outcomes depend on your effort, existing experience, and market conditions.

After CCC: Specialize Your CoPilot Skills

CCC makes you an AI Generalist. Add depth with specialized tracks.

🏢 Domain CoPilots

Add vertical depth to your AI Generalist foundation

  • 📜 Legal CoPilot — Contracts, research, compliance
  • 💰 Finance CoPilot — Analysis, risk, reporting
  • 👥 HR CoPilot — Hiring, engagement, policy
  • ⚙️ Ops CoPilot — Supply chain, logistics, operations

Prerequisite: CCC Complete

🌐 GCC Enterprise Tracks

Make your CoPilots enterprise-ready for GCC environments

  • 🔒 Compliance — GDPR, SOC2, EU AI Act
  • 🏗️ Multi-Tenant — Platform & SaaS architecture
  • 🚀 DevOps AI — CI/CD, SRE, multi-region ops
  • 📊 Operating Model — Governance, C-level reporting

Prerequisite: CCC L2/L3 Complete

Remember: You're always an AI Generalist first. Specializations add depth, not limitation.

Numbers That Matter

>70%
Target Completion Rate
PractaThon™ methodology drives results
3-6
Portfolio Projects
Real systems, not toys
85%+
Margin Reinvested
Back into course quality
Why We Can Say This (Validated Claims)
Claim
Verified
Evidence
"Architecture & Framework based AI education"
✅
Named, integrated frameworks with documented architecture, guarantees, and lifecycle phases
"Honest EdTech"
✅
TVH philosophy — no hype, no shortcuts, evidence-based outcomes
"Production-grade systems"
✅
RAGBEE teaches reliability, governance, and deployment patterns for production-capable systems
"Evidence-based transformation"
✅
PractaThon™ Evidence Packs prove skills — GitHub repos, metrics, traces, and decision documents

Questions You're Thinking

(Honest Answers)

What is a CoPilot? And what is an AI Generalist? +
CoPilot: An AI assistant that works alongside humans. You've seen GitHub Copilot, Microsoft Copilot — we teach you to build these for ANY business domain.

AI Generalist: A professional who can build production CoPilots across any industry — Legal, Finance, HR, Ops, or anywhere. Not locked into one domain.

CCC (Common Compliance Copilot): The foundation architecture you master. By completing CCC, you become an AI Generalist who can build CoPilots anywhere. Then optionally add Domain CoPilot or GCC Enterprise specializations.

Why this matters: You're not learning a tool — you're becoming a role.
What is AgentOps, in simple terms? +
AgentOps is the discipline of operating autonomous AI agents safely, reliably, and accountably in production.

Just like DevOps bridges development and operations, AgentOps bridges AI capability and real-world execution—permissions, safety, verification, and control.
How is AgentOps different from learning AI tools like Claude Code or similar? +
AI tools teach you how to USE agents. AgentOps teaches you how to OPERATE them in production—with boundaries, approval gates, evaluation, and rollback.

Tools change. Operating discipline doesn't.

We use modern tools as examples, but we train principles that work regardless of the tool.
What are Domain CoPilots and GCC tracks? +
After completing CCC, you can optionally specialize:

Domain CoPilots: Add vertical depth — Legal CoPilot, Finance CoPilot, HR CoPilot, Ops CoPilot. Build CoPilots specialized for specific industries.

GCC Enterprise Tracks: Make your CoPilots enterprise-ready — Compliance (GDPR, SOC2), Multi-Tenant (SaaS architecture), DevOps AI (CI/CD, SRE), Operating Model (governance).

Key point: Specializations ADD to your AI Generalist identity — they don't replace it. You're always an AI Generalist first.

Details on pricing and curriculum for these tracks will be announced. Focus on CCC first.
Why 8-10 weeks instead of faster timelines? +
Building production capability takes time. We're not selling video consumption — we're building real skills.

The timeline reflects what's actually needed: time to implement (not just watch), time to debug and iterate, time to document decisions, and time to build multiple systems.

8-10 weeks at 2-3 hours per day is realistic for working professionals. It's sustainable. It's honest. And that's why it works.
What if I can only commit 1-2 hours per day? +
That's fine — it'll take closer to 10 weeks rather than 8. The timeline is a range specifically because we know you have a job.

What matters is consistency, not intensity. 2 hours daily beats 10 hours on weekends.

Generous access periods. L1 content: Lifetime. L2/L3 content: 12 months from unlock. 3 PractaThon cycles included per level.
What's the difference between L1, L2, and L3? +
L1 (SkillLaunch): AI Generalist (Foundation) — Master the 6-layer CoPilot architecture. 30% RAGBEE coverage. 8-10 weeks. Lifetime content + tribe access. 3 PractaThon cycles included.

L2 (SkillElevate - ProTrack): AI Generalist (Production-Capable) — Full reliability patterns, multi-agent CoPilots. 60% RAGBEE coverage. 16-18 weeks. L1 content (Lifetime) + L2 content (12 months from unlock). 3 PractaThon cycles included.

L3 (MasteryX): AI Generalist (Certified) — Custom agents, enterprise CoPilots, full architecture mastery. 100% RAGBEE coverage. 24-28 weeks. L1 (Lifetime) + L2 (12 months) + L3 (12 months). 3 cycles per level.

After CCC: Add Domain CoPilot specialization (Legal, Finance, HR, Ops) or GCC Enterprise tracks (requires L3 Certificate).
What if I'm not satisfied? +
You have 7 calendar days from enrollment to request a full refund — no questions asked.

During this period, you have access to Kickstart content and live sessions to evaluate fit.

After Day 7, refunds are not available. Full Course access unlocks from Day 8 onward.

If you're unsure, wait until you're ready.
Do I get the RAGBEE™ architecture documentation files? +
The architecture specs, decision logs, and failure playbooks are internal TechVoyageHub™ IP that guide program design and mentoring.

What you receive: PractaThon™ Implementation Packages + THINK4 + LEAF methodology to build your own production CoPilots and generate portfolio-grade evidence.

You don't download our files — you develop the skills to create your own. The artifacts you produce during missions are yours to keep and showcase.

RAGBEE™ is the compass, not the cargo.
Do you offer payment plans? +
Yes. EMI options are available at checkout through Razorpay, subject to your card eligibility.

You can split the payment into monthly installments based on your bank's terms.

Important:
If you request a refund within the 7-day window, the full course fee will be refunded.
Any EMI processing fees or bank charges are governed by your bank's policy and may not be refundable by the bank.
Why do you call this "operator training" instead of an AI course? +
Most AI courses teach you to build. We teach you to operate. Building an agent takes hours. Operating it safely in production — with guardrails, cost control, monitoring, and failure handling — takes discipline. That's the gap between a demo and a system your company trusts at 2 AM. RAGBEE™ exists to close that gap.

Still have questions? Email:

Two Ways to Start Your AI Generalist Journey

Recommended

Attend Live Session First

See RAGBEE™ in action. 90 minutes. No commitment.

Register for Live Session
Ready Now?

Enroll Directly

Skip the webinar. Start L1 immediately.

View Pricing — ₹24,999

Questions?

"The future won't reward people who merely use AI. It will reward those who can operate it safely and make it work in production."