Built for Engineering Leaders
Your Team Should Ship Features, Not Manage Infrastructure
ShinRAG eliminates the 6-12 week RAG infrastructure buildout. Your engineers focus on AI features that matter—while we handle vector databases, embeddings, and orchestration.
No credit card required · 3-day free trial · Cancel anytime
The Problem with Building RAG In-House
We've talked to hundreds of engineering teams. The pattern is always the same.
6-12 weeks to build RAG infrastructure
3 days to production with visual pipeline builder
Senior engineers managing vector DBs
Zero infrastructure management required
$25K-35K first year cost (build custom)
$468/year with predictable pricing
ML specialists needed for RAG systems
Any developer can build RAG pipelines
ROI Calculator
The Business Case for ShinRAG
Real numbers from teams who switched from building custom RAG
10x
Faster time to market
Ship AI features in days, not months
85%
Lower TCO
Vs. building custom RAG infrastructure
0
Infrastructure engineers needed
Fully managed platform
100%
Team velocity retained
No context switching to infra work
First Year Total Cost Comparison
Build Custom RAG
- Developer time (6-8 weeks)$24,000-32,000
- Vector DB + Infrastructure$5,400-12,000/yr
- Ongoing maintenance$4,800-6,400/yr
- Total$29,000-39,000
Use ShinRAG
- Setup time (3 days)$2,400
- Platform cost (Developer plan)$588/yr
- Maintenance~$500/yr
- Total$3,488
Save $25,000-35,000 in Year 1
Plus ship 10x faster and free up senior engineering time
What Engineering Leaders Get
Strategic advantages that matter to VPs and Engineering Managers
Ship Before Competitors
Your competitors are spending 6-12 weeks building RAG infrastructure. Ship AI features while they're still configuring vector databases.
- Go from idea to production in 3 days
- Iterate on AI logic, not infrastructure
- Beat competitors to market with AI features
Reduce Hiring Pressure
You don't need ML infrastructure specialists. Any developer on your team can build production RAG systems with our visual builder.
- Visual pipeline builder—no ML expertise required
- Comprehensive docs and TypeScript SDK
- Lower barrier for AI feature development
Predictable Costs
Know exactly what you're paying. No surprise cloud bills, no hidden vector DB costs, no variable embedding charges.
- $49/month Developer plan—everything included
- No infrastructure costs to manage
- Scale without budget surprises
Zero Ops Burden
Your team should be shipping features, not managing vector databases and debugging embedding pipelines at 2 AM.
- Fully managed vector database
- Automatic scaling and maintenance
- No on-call for AI infrastructure
Full Platform
Everything Your Team Needs
No assembly required. No infrastructure to manage.
Visual Pipeline Builder
Drag-and-drop interface for building complex RAG workflows
Managed Vector Database
Enterprise-grade vector storage with automatic scaling
Multi-Agent Workflows
Chain multiple AI agents for sophisticated automation
Full REST API
Production-ready API with comprehensive documentation
TypeScript SDK
Type-safe SDK for seamless integration into your codebase
Usage Analytics
Track tokens, costs, and performance across your team
"We were 4 weeks into building our own RAG infrastructure when we found ShinRAG. Switched over in 2 days, shipped our AI feature a month ahead of schedule."
— Engineering Manager, Series B Startup