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.
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.
Quickly prototype, customize, and deploy AI knowledge apps—no matter your experience level.
Rapid prototyping in 3 steps — no code required:
PDFs, Word, Excel, PowerPoint, Markdown, and more. Joinable cleans and transforms it all behind the scenes.
Pick from dozens of open-source LLMs. Easily compare performance, tune behavior, and optimize response quality.
Your working AI knowledge app is live—ready for testing, iteration, or production.
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.
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.
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.
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.
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.
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.
Help financial professionals surface and synthesize key insights across large volumes of data.
Turn scattered documentation into a unified, searchable AI assistant for internal collaboration.
Help HR teams build intelligent tools that improve efficiency and access to critical information.
Equip sales teams with real-time access to critical information, helping them stay prepared and responsive.
Brian Shin
co-founder & CEO of Joinable
"We built RAG-in-a-Box so builders could go
from idea to prototype in minutes—not months."
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.
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.
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.
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