AX Insight

Criteria for Selecting Public Institution Document Parsing Solutions | HWP Support and On-Premise Conditions Overview
AX Insight

Criteria for Selecting Public Institution Document Parsing Solutions | HWP Support and On-Premise Conditions Overview

What criteria should you use when choosing a document parsing solution for public institutions? We've summarized the key selection criteria, from native HWP/HWPX support and on-premise/closed network environment compatibility to the ability to process structured and unstructured documents. You can review the criteria for selecting the right solution for your organization through case studies from the Gyeonggi Provincial Office of Education, the Ministry of Interior and Safety, and the National Assembly.

Causes and Solutions for RAG Search Failures in Official and Legal Documents – Recognizing Korean Document Hierarchical Structures
AX Insight

Causes and Solutions for RAG Search Failures in Official and Legal Documents – Recognizing Korean Document Hierarchical Structures

When official and legal documents are used in RAG, does the search retrieve irrelevant clauses? We've outlined three reasons why the Article, Paragraph, Subparagraph, and Item hierarchy and official document tables are damaged during parsing and chunking, and how to restore search accuracy by recognizing Korean document hierarchical structures.

Public Institution HWP Parsing Solution Adoption Checklist | GS Certification, Network Separation, and On-Premises Criteria
AX Insight

Public Institution HWP Parsing Solution Adoption Checklist | GS Certification, Network Separation, and On-Premises Criteria

When selecting a document parsing solution for public institutions, it is easy to overlook critical requirements such as native HWP and HWPX processing, network separation and on-premises deployment, and GS certification. This five-point checklist consolidates these considerations, helping you identify what to verify before adoption to avoid implementation failures.

How to Improve RAG Chunking Quality: Preprocessing Strategies Preserving Document Hierarchical Structure
AX Insight

How to Improve RAG Chunking Quality: Preprocessing Strategies Preserving Document Hierarchical Structure

Low RAG (Retrieval-Augmented Generation) chunking quality can lead to incorrect answers when documents are uploaded. While it may seem that documents are organized into searchable units through parsing and chunking, ... <a title="How to Improve RAG Chunking Quality: Preprocessing Strategies Preserving Document Hierarchical Structure" class="read-more" href="https://blog.hancom.com/en/rag-chunking-quality-document-hierarchy-preprocessing/" aria-label="Read more about How to Improve RAG Chunking Quality: Preprocessing Strategies Preserving Document Hierarchical Structure">Read more</a>