AI Pipelines That Work Out of the Box
Drag-and-drop AI pipeline builder for document processing, classification, extraction, and analysis. Connect RAG agents to Slack, databases, GitHub, and email. From $19/mo.
Purpose-built for AI. Not a general automation tool with AI bolted on.
See It in Action: Document Processing Pipeline
Classify documents, extract data, and route results to Slack or your database -- all in a visual drag-and-drop interface.
Why Teams Switch to ShinRAG
General automation tools weren't built for AI. ShinRAG was.
General Automation (n8n, Make.com)
- AI bolted on, not native -- clunky LLM nodes
- No built-in RAG, vector search, or embeddings
- Per-execution billing adds up fast
- No cost tracking per pipeline or per run
- Generic tool -- not optimized for document workflows
ShinRAG
- Purpose-built for AI pipelines from day one
- Built-in RAG agents, vector DB, and auto-embeddings
- Predictable pricing from $19/mo
- Per-pipeline cost tracking and budget controls
- Document processing, classification, extraction built-in
Everything You Need for AI Automation
Build, connect, track, and deploy AI pipelines -- all in one platform
AI Workflows for Real Work
Replace custom-built apps and manual processes with AI pipelines you can set up in minutes and run on autopilot.
Up and Running in 3 Steps
No infrastructure to set up. No months of development. Just results.
Upload Your Documents
CSV, JSON, PDF, or connect your database. Auto-indexed with embeddings in minutes. No vector DB setup required.
Wire Up Your Pipeline
Drag agents, conditionals, and integrations onto the canvas. Use a template or build from scratch. No code required.
Run It
Execute via dashboard, SDK, webhook, or schedule. Track costs per run. From $19/mo.
Build Your First AI Pipeline in 5 Minutes
Free sandbox. No credit card required. Upgrade from $19/mo when you're ready.