A next-generation hybrid search solution powered by agentic AI, enabling AI to develop its own search plans, use diverse tools, and produce in-depth reports.
This solution is an integrated intelligent platform that combines the proven high-performance keyword search engine R2Find with agentic AI technology capable of autonomous reasoning and action. Moving beyond conventional systems that simply list search results, it allows AI to develop its own search plans, use a range of tools, and produce in-depth reports.
The LLM analyzes user intent and independently determines whether to respond immediately, use tools, or perform an external search.
It actively invokes search engines, internal APIs, code interpreters, and other tools to complete complex tasks.
By adopting the open standard protocol proposed by Anthropic, it connects seamlessly to data sources including internal databases and internet search services.
Provides ultra-fast indexing for large-scale data and precise Korean morphological analysis.
Combines the precision of keyword search with vector-based semantic similarity to deliver the most relevant context.
Runs a recurring “plan → search → analyze → search again” loop
Automatically generates expert-level, in-depth research reports
Augmentation After Generation
Controls hallucinations and improves response speed
A small language model enhanced with LoRA and quantization
Reduces operating costs and optimizes deployment in secure environments
ARGONET's proprietary morphological analyzer
An optimized RAG pipeline built on LangChain and LlamaIndex
Fast indexing and a proven distributed-cluster architecture