What is RAG-in-a-Box?
What is RAG?
Retrieval-Augmented Generation (RAG) is an advanced AI architecture that enhances the capabilities of language models by integrating real-time retrieval of external documents. Instead of depending solely on the model’s internal knowledge, RAG systems pull relevant information from external sources—like files, databases, or document collections—and incorporate that data into the response generation. This significantly improves the factual accuracy, relevance, and traceability of AI outputs.
Example Applications
Internal Knowledge Assistants: Empower employees to find information across wikis, manuals, HR documents, or internal policies.
Customer Support Tools: Automate responses to customer questions using helpdesk articles, product guides, or troubleshooting docs.
Educational Tutors: Build AI-powered learning assistants that reference textbooks, research papers, or curriculum material.
Product Documentation Bots: Let developers or users interact with your API or product manuals conversationally.
Legal and Compliance Advisors: Build assistants that can parse, interpret, and explain legal documents using reliable citations.
What is RAG-in-a-Box?
Joinable’s RAG-in-a-Box is a fully hosted, zero-configuration platform that delivers the fastest Time-to-Intelligence for prototyping AI-powered knowledge tools. Designed for AI Builders - developers, innovators, and teams, it eliminates the friction of traditional AI pipelines—so you can go from raw documents to a working RAG application in minutes, not weeks.
From Chaos to Clarity
In traditional AI development, prototyping intelligent systems involved dealing with file format inconsistencies, chunking strategies, vector databases, prompt engineering, and infrastructure. Joinable RAG-in-a-Box simplifies this entire process into a single, intuitive flow.
Key Benefits
Time-to-Intelligence: Rapidly convert ideas into working prototypes—up to 50x faster than conventional RAG setups.
No-Code to Pro-Code: Use the visual UI for instant app creation or integrate via API for full control.
Built-In LLM Flexibility: Experiment with over 10 open-source language models side-by-side.
Smart Ingestion: Upload any format (PDF, Excel, PowerPoint, Doc, etc), and Joinable handles parsing, chunking, and embedding.
Full Data Control: Your data never leaves your control, and nothing is shared without your permission.
How It Works
Upload your data: Load thousands of documents in common formats.
Select your model: Choose the right LLM for your use case (e.g., LLaMA, DeepSeek, Qwen, etc.).
(Optional) Edit your system prompt: Control tone, behavior, and depth.
Click Deploy: Your prototype is ready for testing and iteration.
Use Cases
Internal company knowledge portals
HR and onboarding assistants
Self-service product Q&A bots
Sales and support knowledge tools
Vendor and partner documentation access
Whether you're building a simple FAQ assistant or a powerful enterprise intelligence app, RAG-in-a-Box enables you to launch faster, iterate more often, and maintain full control over your content and experience.
Brian Shin, CEO and Co-founder of Joinable.ai: “We built RAG-in-a-Box so builders could go from idea to prototype in minutes—not months. It’s the fastest way to explore what’s possible with your data. Whether you use the dashboard or the API, Joinable accelerates your Time-to-Intelligence without compromising control.”
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