Discover what a RAG AI agent is and how Smartcat's AI RAG agents combine automation with your knowledge base for accurate, on-brand content creation and translation.
Join 25% of the Fortune 500 who trust Smartcat's enterprise platform and its AI RAG agents for secure, scalable global content workflows.
70%+
Cost Savings
Achieve significant savings by using an AI RAG agent instead of traditional translation services.
50%
Faster Throughput
Deliver more multilingual content with the same resources by leveraging autonomous AI agents and RAG technology.
100%
Factual Accuracy
Ensure consistent brand voice and quality. Our agent AI RAG learns from your feedback and verified knowledge base.
PDF Translation Agent
Extract text from static PDFs, translate it, and rebuild the document with your original layout and design.
Document Translation Agent
Translate editable documents — like Word, Google Docs, or training guides — while preserving formatting, structure, and brand voice.
Learning Content Agent
Create and translate learning content — including training modules, quizzes, slide decks, and internal documentation — all in one workflow.
Media Translation Agent
Translate spoken content in audio and video files into multiple languages. Outputs include subtitles or voiceover, depending on your needs.
Image Translation Agent
Detect and translate text inside image files, then rebuild the image with the translated content in place — no manual design work needed.
Website Translation Agent
Automatically translate website content while preserving structure, formatting, and brand voice.
Software Localization Agent
Translate UI elements like buttons, menus, tooltips, and in-app text — so your product experience is consistent across every language.
Quality Assurance Agent
Automatically review translated content for accuracy, formatting, tone, and brand alignment before it goes live.
1
Choose Your AI RAG Agent
Select the AI agents and RAG capabilities you need. Automate content creation, translation, and localization based on your specific goals.
2
Configure Your Workflow
Connect your selected AI agents into a seamless workflow. Define languages, file types, and connect your private knowledge base to power the AI RAG agent.
3
Review and Train the AI
Reviewers from your team or our Marketplace provide feedback. This continuously improves the agent AI RAG performance, ensuring quality and brand consistency.
4
Scale with Confidence
Launch content across all markets. Your AI agents and RAG system maintain quality and consistency, dramatically reducing time-to-market and risk.
for ease of setup
ease of use
global corporate clients
of the Fortune 500
70%
reduction in file preparation time
Smith+Nephew dramatically improved multimedia localization by using Smartcat's AI agents with RAG to automate complex file preparation.
30%
increased translation output
Discover how Stanley Black & Decker expanded content reach with an autonomous AI RAG agent, all while maintaining a consistent brand voice.
50%
higher productivity with workflow automation
Learn how global organizations use our AI agents and RAG technology to achieve better results with fewer resources through intelligent workflow automation.
Smartcat's AI RAG agents solved our accuracy problem while maintaining the automation we needed. Our technical translations are now faster and more reliable than ever, which is a huge win for our global programs.
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See what a RAG AI agent can do for your business. Book a demo to discover how to eliminate accuracy concerns and automate your global content workflows with confidence.
Smartcat is an AI language platform that helps businesses scale global content with AI RAG agents. We combine content creation, translation, and an expert marketplace into a single, automated workflow.
An AI RAG agent is an autonomous program that uses Retrieval-Augmented Generation (RAG). RAG allows the agent to access and use information from a specific, verified knowledge base—like your company's internal documents or glossaries—before generating a response. This ensures the output is factual, accurate, and aligned with your brand.
This is a common point of discussion. It isn't a matter of an AI agent vs RAG; it's about an AI agent using RAG. Here's how they work together: An AI Agent is the autonomous worker designed to perform tasks. RAG is the technology that gives the agent access to your specific knowledge base, making it much more accurate and reliable than a standard AI model.
We offer a suite of pre-built AI agents for specific tasks. There are 8 pre-built agents including:
Each of these is an example of an agent AI RAG, designed for specific content types and powered by our secure, enterprise-grade platform.
While you can build custom solutions with tools like n8n, creating an n8n RAG AI agent requires significant technical expertise and ongoing maintenance. These DIY approaches often lack the enterprise-grade security, scalability, and seamless integrations that business workflows need.
Yes, Smartcat offers extensive integration capabilities. Our API and pre-built connectors allow you to seamlessly incorporate the power of AI agents and RAG into your existing CMS, marketing automation tools, and other systems.
Smartcat employs enterprise-grade security with SOC 2 Type II compliance, end-to-end encryption, and comprehensive data protection to safeguard content at every stage of your AI RAG agent workflow.
Implementation time varies, but our intuitive interface means most customers deploy their first AI RAG agent within days. You can start automating tasks and seeing results almost immediately.
Absolutely. Our AI agents RAG can be trained on industry-specific terminology and content. This enables them to excel in technical, legal, and marketing content, freeing your experts to focus on high-value work. The debate of RAG vs AI agents is settled when you see the accuracy it brings to specialized fields.
Vaccaro, M., Almaatouq, A., & Malone, T. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour, 8, 2293–2303. https://doi.org/10.1038/s41562-024-02024-1
McKinsey & Company. (2021). The value of getting personalization right—or wrong—is multiplying. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/the-value-of-getting-personalization-right-or-wrong-is-multiplying
Stanford HAI. (2025). AI Index Report 2025. https://hai.stanford.edu/ai-index/2025-ai-index-report