Build a RAG in 2 clicks.
Seriously.
Turn your PDFs, notes, and docs into useful chatbots...
without touching a line of code!
What is a RAG?
RAG stands for Retrieval-Augmented Generation,
a technique that makes AI much smarter by combining two things:
- Retrieval: It pulls real, relevant information from your own documents or data sources.
- Generation: It then uses a large language model (LLM) to write clear, helpful answers based on what it found.
So instead of guessing or hallucinating, the AI stays grounded in facts. Your facts.
The quickest way to
get a RAG up and running
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🔍
No setup
Drop a file or URL, get a working RAG assistant
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🧠
No stack complexity
No LangChain, no vector DBs setup, no devops
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💬
Instant chatbot
Ask as many questions as you want
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⚡
2-click UX
For builders who don't have time for tutorials
Built with QuickRAG
All-purpose, versatile RAGs
- Internal knowledge bots for teams
- Personal research assistants
- Custom chatbot demos for clients
- Support tools for niche docs
- Lightweight MVPs or prototypes
- Engineering playbook assistants
- Sales enablement bots
- Product documentation chatbots
- Security & compliance assistant
- Company handbook chat assistant
- Chat with your Notion notes
- AI concierge (wiki or blog)
- AI startup ideas generator
- “Chat with X” app
- Client-specific assistants
- AI support layer for code
- Technical assistant for dev teams
- Query legal documents, contracts, or RFPs
- Discovery assistants over research
- Internal SOP assistant for faster onboarding
How it works
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Step #1
Upload your documents
Or use a public URL -
Step #2
QuickRAG processes your documents
It's called vectorization! -
Step #3
Chat with your documents
That's it! It's that simple...
Simple Pricing
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Free
$0/mo
No credit card required. No hidden fees.
- 1 bot
- 1 source
- Default AI models
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Starter plan
$9.99/mo
Coming soon
- Unlimited bots
- Multiple sources per bot
- Customizable AI models
Who's QuickRAG for?
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Solo Developers
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Startup teams
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Devs at hackathons
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Researchers
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Product people building MVPs
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You?
Interested in early access?
We're launching soon.
Early users get early features and priority feedback loop.