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Secure Agent RAG

We build a secure AI Agent that structures internal documents that cannot be exported and searches them according to authority to provide a basis for all answers.

OVERVIEW

Understand internal documents without exporting them externally, We create an AI knowledge service that can verify even the evidence.

Understand the document's title hierarchy, tables, charts, and drawings as a structure, and search for the necessary evidence to the end within the user's authority.

Structure documents without external links and explore the grounds for agent need within the user's authority.

01 · ISOLATE

completely closed network

It serves LLM, embedding, and reranker itself and operates without external API calls.

02 · STRUCTURE

Document Structuring

Convert title hierarchy, body, tables, charts, captions, and footnotes into a section tree.

03 · SEARCH

Permission-based navigation

SSO and role, group, and knowledge base disclosure scope are reflected in the entire search process.

04 · VERIFY

Evidence verification

Look directly at the original page and corresponding area in the response footnotes.

all answers areExact basis for the original pageYou can check again with .

CHALLENGES

There are many internal documents, There is a lack of safe ways to find and verify it.

You must search for information in tables, charts, and drawings while protecting security and authority, and prove the basis for your answer.

01

In-house documents cannot be uploaded to external AI.

Regulations, technical documents, contracts, and equipment manuals cannot be transmitted to Public AI for security and compliance reasons.

02

It is difficult to find information in tables, charts, and drawings.

It is difficult to retrieve the meaning contained in document structure and visual materials through keyword search alone.

03

Knowledge is lost when the person in charge leaves.

Sometimes a day is spent searching for documents scattered across departments and data on personal PCs.

04

Access rights by department and position must be maintained.

The documents that each user can view are different, so search results and answers require the same control.

05

The basis for AI answers must be verified.

To use it for work, you need to be able to check which page of which document the answer came from.

SOLUTION

Structure documents within a closed network, The agent explores the evidence to its end.

The search quality is directly corrected by the person in charge, and all answers are linked to the exact location of the original document.

01

Establishment of a completely closed network

LLM, embedding, reranker, and document parser are all served on the ORKESTRIX GPU infrastructure.

02

Enterprise Rights Management

SSO, role-based access control, and knowledge base disclosure scope are applied to individuals, groups, and entire units.

03

Structure-aware document processing

Convert PDF, DOCX, and PPTX to a section tree with a hierarchy of titles and tables, charts, captions, and footnotes.

04

HITL quality calibration

Automatically reorganizes search chunks as administrators manually modify document structure and block text.

05

Agent Parallel Exploration

Multiple workers traverse deeply the section tree of related documents and re-search when information is insufficient.

06

Source-based answer

Clicking on a footnote highlights the supporting area on the original document page.

ARCHITECTURE

Without external connection, We complete everything from document structuring to supporting evidence and operation.

It connects IKIN's secure RAG, ORKESTRIX's GPU model serving, AkashiQ's data storage, and SAMANDA's autonomous operation into a single closed network structure.

Secure Agent RAG architecture that connects IKIN, ORKESTRIX, AkashiQ and SAMANDA in an in-house closed network

BUSINESS VALUE

Reduce time searching for documents, We provide reliable answers without external leakage.

Converts data scattered across personal PCs and departments into verifiable company-wide knowledge assets.

01

Reduce data navigation time

Instead of searching through multiple documents, ask a single question to find relevant sources and answers.

02

Block external leakage sources

Keep all models and documents internally in an on-premise, closed-network environment.

03

Ensure answer reliability

Respond to audits and verifications with provenance pages and evidence area highlights.

04

Direct control of search quality

HITL Proofreading allows your organization's staff to control document structure and search quality.

05

Company-wide knowledge assetization

Convert documents dormant on personal PCs and departments into a knowledge base with rights applied.

APPLICATIONS

외부로 반출할 수 없는 내부 지식을 안전하게 검색하고 활용합니다.

사용자 권한을 반영해 내부 문서를 탐색하고, 업무에 검증할 수 있도록 원문 근거와 함께 답변합니다.

금융 · 증권 지식 검색

리서치 자료 · 내부통제 규정 · 상품 약관을 권한에 맞게 탐색하고 근거와 함께 확인합니다.

  • 리서치 · 금융 문서 구조 검색
  • Internal Control Regulations Q&A
  • 상품 약관 · 조항 근거 확인
  • 사용자 권한별 지식 접근