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Ingest and structure
Transform PDFs, HWP/HWPX, office files, tables, and web content into knowledge while preserving document structure.
AICC · Product details
LX-RAG
A knowledge management and AI advisor that collects and structures enterprise documents and web content to deliver grounded answers through retrieval-augmented generation.
Knowledge-Grounded AI
Turn scattered knowledge into answers you can trust
LX-RAG connects diverse business documents through one knowledge pipeline and retrieves the most relevant evidence to give agents fast, consistent answers.
RAG Workflow
One flow from question to grounded answer
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Hybrid retrieval
Combine keyword and vector search to find relevant manuals, FAQs, and product information.
03
Grounded response
Generate an answer from retrieved context and provide the source document, page, and supporting evidence.
Grounded Answer Preview
AI answers with supporting evidence
Agent question
Grounded answer complete
What is the replacement process if a card is lost overseas?
Hybrid Search · 3 sources
Grounded suggested answer
Block the card immediately, then request an emergency replacement through the overseas support center or apply for a replacement after returning home.
3 supporting sources linked
Core Capabilities
Find, recommend, and organize the knowledge agents need
Real-time RAG search
Search current manuals, FAQs, and product information in real time and surface reliable evidence for each answer.
Live AI recommendations
Recommend the best response script during a call based on the customer question and conversation context.
Automatic summary and classification
Summarize each conversation and automatically tag it with keywords and business categories.
Key Differentiators
RAG built for Korean enterprise content and reliable operations
Korean business document support
Process PDF and office formats alongside HWP/HWPX, legacy DOC, PPT, XLS, and spreadsheets in one pipeline.
Preserved document and table structure
Retain pages, heading paths, slides, sheets, tables, and rows to preserve the meaning and location of source content.
Resilient hybrid retrieval
Combine keyword and vector retrieval and fall back to keyword search during embedding outages to maintain service continuity.
Context budget control
Manage per-result and total token budgets, context windows, and reserved answer capacity for long documents.
Traceable evidence and hallucination control
Link answers to documents, ranking, pages, and originals, and return a fixed no-information response when evidence is insufficient.
Retrieval-level access control
Apply user and group scopes in the search query so unauthorized documents never enter the LLM context.
On-premises and replaceable models
Separate LLM, embedding, and reranking services to support internal deployment and model replacement.
Modular MSA deployment
Deploy only document management when generation is unnecessary, or integrate selected capabilities with existing systems.
Business Benefits
Put organizational knowledge to work faster and more consistently
Faster information discovery
Find relevant documents and key details with natural-language questions instead of navigating folders and systems.
More reliable answers
Reduce agent-to-agent variation by grounding responses in approved internal documents and visible references.
Reusable unstructured knowledge
Index documents, tables, and web pages as reusable organizational knowledge.
Efficient knowledge operations
Manage categories, tags, versions, validity periods, quality diagnostics, and reprocessing in a structured workflow.
Contact
Turn organizational knowledge into trusted answers with LX-RAG
Tell us about your documents and security environment, and we will recommend the right scope from knowledge ingestion and retrieval to grounded answers.