STORM User Guide

STORM is an integrated platform designed to help you easily and reliably build and operate AI agents.
It combines an intuitive interface accessible to non-developers with a powerful RAG-based knowledge processing engine and comprehensive operational tools—allowing you to quickly build knowledge-driven AI agents optimized for real-world service environments.

STORM integrates the following

Support for various LLM models (OpenAI, Anthropic, Ko-LLM, etc.)

Intuitive prompt configuration and agent response control

High-precision retrieval-based response (RAG) engine

Operational tools for real-time feedback and performance improvement

Automatic detection and filtering of sensitive information

Fully automated workflow from testing to deployment

Without the burden of complex infrastructure or model operations, you can build AI agents that can be practically applied with knowledge at their core—quickly and efficiently.

Why STORM?

Traditional chatbot tools or simple LLM API calls make it difficult to generate accurate responses that reflect a company’s real knowledge and business processes.

STORM provides a complete platform encompassing knowledge-based response generation, operational feedback loops, and data security, delivering everything needed to operate AI agents stably and at scale.

What You Can Do with STORM

Operate customized agents by choosing major LLMs such as GPT and Claude

Provide trustworthy responses using a knowledge-document-based RAG structure

Strengthen data security through automatic filtering based on sensitive information patterns

Achieve continuous performance improvement through real-world logs and feedback

Manage the entire flow — testing → deployment → operation — on a single platform

Ideal Use Cases for STORM

Organizations with large amounts of unstructured internal knowledge (e.g., operation manuals, customer FAQs)
→ Automate document-based responses to improve efficiency and quality of customer interactions

Enterprises managing large volumes of diverse document formats
→ Suitable for organizations that struggle to preprocess or structure data from images, tables, or PDFs.
STORM’s automatic document structuring and parsing features maximize AI utilization efficiency of document assets.

Organizations with strict security requirements (e.g., finance, public sector, manufacturing)
→ Protect internal data through pre-detection of sensitive information and blocking of unauthorized learning

Customer support teams handling repetitive inquiries
→ Automate first-level responses using learned FAQs to reduce agent workload

Teams lacking AI/LLM specialists
→ With a no-code interface and feedback-driven tools, even non-developers can manage and operate AI agents

Next Step

Explore the workflow of STORM by creating an account.

Introduction

STORM User Guide#

STORM integrates the following#

Why STORM?#

What You Can Do with STORM#