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Rag-in-a-Box

From Raw Docs to AI Apps
in Minutes

Joinable's RAG-in-a-Box is the fastest way to prototype AI-powered knowledge apps. Built for AI builders of any experience level, it lets you upload documents, choose a model, and deploy in minutes—no coding required.

RAG in a Box

What is RAG?

Retrieval-Augmented Generation (RAG) is an AI framework that combines large language models with your own data. It retrieves relevant information from your documents in real time to generate accurate, context-aware responses.

RAG in a Box

Powerful RAG Solution for
every type of AI builder

Quickly prototype, customize, and deploy AI knowledge apps—no matter your experience level.

RAG solution

How it works

Rapid prototyping in 3 steps — no code required:

01.
upload

Upload
Your Documents

PDFs, Word, Excel, PowerPoint, Markdown, and more. Joinable cleans and transforms it all behind the scenes.

Upload documents
02.
upload

Choose
Your LLM Model

Pick from dozens of open-source LLMs. Easily compare performance, tune behavior, and optimize response quality.

Choose model
03.
upload

Click Deploy

Your working AI knowledge app is live—ready for testing, iteration, or production.

Deploy

Platform features

Zero-Setup,
Fully Hosted

End-to-end platform is ready to use out of the box. No installation, configuration, or infrastructure required—just upload your data and start building.

Built for Every Builder

Whether you're using the intuitive no-code UI or integrating through the developer-friendly API, Rag-in-a-Box supports AI builders of all experience levels with a modular and customizable environment designed for speed and flexibility.

Out-of-the-Box Accuracy

Rag-in-a-Box includes advanced components for document processing, retrieval, grounded generation, and evaluation. All modules are optimized to work as a unified system, delivering reliable performance across use cases.

Fast to Deploy,
Easy to Maintain

Go from raw documents to a live prototype and AI application in minutes. Rag-in-a-Box streamlines the entire RAG pipeline, removing integration complexity and accelerating time to production.

Enterprise-Grade Security
and Controls

Data privacy and compliance are built into the core of the platform. Whether deployed via our fully managed SaaS, in your VPC, or on-premises, Rag-in-a-Box meets stringent enterprise security standards.

Scalable and Flexible Deployment

Deploy your applications where you need them. Rag-in-a-Box supports a range of deployment models and provides the governance, entitlements, and operational tooling required for enterprise-scale adoption.

Use Cases—
Powered by Your Data

Financial Services

Empower Wealth Management
and Capital Markets Teams

Help financial professionals surface and synthesize key insights across large volumes of data.

  • Analyze earnings reports, market research, and investor briefs
  • Track compliance and regulatory updates with ease
  • Access deal memos, investment theses, and call transcripts instantly
Financial Services
Team Collaboration

Centralize Knowledge for Cross-Functional Teams

Turn scattered documentation into a unified, searchable AI assistant for internal collaboration.

  • Enable faster onboarding and knowledge sharing
  • Provide instant access to project docs, meeting notes, and internal policies
  • Reduce time spent searching across systems
Team Collaboration
Human Resources

Enhance HR Support and Employee Experience

Help HR teams build intelligent tools that improve efficiency and access to critical information.

  • Automate responses to employee FAQs and policy questions
  • Centralize onboarding materials, benefits information, and training resources
  • Support employees with 24/7 access to HR knowledge, tailored to your organization
Human Resources
Sales Enablement

Support Sales Teams with On-Demand Knowledge

Equip sales teams with real-time access to critical information, helping them stay prepared and responsive.

  • Build intelligent sales FAQ bots for objection handling and product positioning
  • Surface case studies, pricing documents, and competitive insights instantly
  • Support onboarding and ongoing enablement with searchable internal resources
Sales Enablement
Brian Shin

Brian Shin

co-founder & CEO of Joinable

Time-to-Intelligence—
Up to 50x Faster

"We built RAG-in-a-Box so builders could go from idea to prototype in minutes—not months."

data

Your Data,
Your Advantage

Traditional LLMs lack context from your proprietary company's data. RAG-in-a-Box integrates your documents into the response generation process, delivering relevant, data-aware answers.

No Complex Setup Required

data

Building a RAG pipeline is complex. You need to handle chunking, embeddings, vector databases, retrieval logic, etc. RAG-in-a-Box eliminates that complexity by combining all components into one fully managed, ready-to-use platform.

Accessible to Any AI Builder

data

Whether you're technical or not, RAG-in-a-Box lets you create AI-powered knowledge apps quickly and securely—no engineering team or AI expertise required.

Let's get started

At Joinable, our mission is to empower builders of all backgrounds to create intelligent, data-driven applications—quickly, securely, and without complexity.

Join our community of AI Builders on Discord to share ideas, get support, and collaborate with others building the future of private AI.