애자일소다 - ETL with LLM

Unleashing the Potential of Data

Next-Generation ETL Solutions with LLM

ETL with LLM

An 'AI Agent' that significantly enhances the extraction, understanding, and cognitive capabilities of enterprise domain-specific document assets based on LLM, enabling the utilization of unstructured data in business services.

A next-generation ETL solution that optimally extracts and analyzes large-scale unstructured data. Through RAG-based powerful search performance and information extraction from unstructured data using LLM, along with structured data provision, it is optimized to maximize data utilization from analysis to reporting.

Enterprise Document Assets

ETL with LLM

Recognition
Text Recognition Document Structure Recognition Table Structure Recognition
Extraction
Text Structure Extraction Table Structure Extraction Formula/Image/Graph Extraction
Document Structuring
HTML Markdown JSON XML
Loading
Web Storage Vector Storage Table Storage

LLM-based Data Utilization Enhancement

Structuring after extracting necessary information from documents
Standardized Key recognition and corresponding Value extraction
Document governance
Intelligent document classification

LLM-based Business Services

GA Sales Support AI Agent
Manufacturing Feasibility Review AI Agent
Marketing Support AI Agent

Key Features

Optimal Vector DB Construction for RAG

Table/Graph recognition and optimal chunking data generation

Metadata generation for improved search performance
Core Information Extraction from Text

Key-Value recognition and extraction

Definition and recognition of extraction items (Key expressions) with various representations
Logic/Reasoning/Formula Calculation Support

Formula-based calculation and judgment

Inequality recognition and condition validation

Text-based logic recognition

Related lookup table configuration
Report Generation Support

Report generation based on extracted information and formula recognition results

Analysis reports based on data analysis and visualization function calls
Operation Management

Automatic document file classification and job monitoring

Document recognition rate and data quality management

Account-specific job log analysis

Key Features

Improved Data Processing Speed and Accuracy

Minimized Manual Work

Reduced processing time and maximized accuracy through AI-based data recognition/automated ETL pipeline

Large-scale Unstructured Data Processing

Real-time processing and analysis of various format data including tables, graphs, and text
Maximized Data Utilization

RAG-based Insight Generation

Support business decision-making by quickly finding desired information through advanced search and AI reasoning capabilities

Logic Recognition and Formula Analysis

Analyze logical and formula-based data within the document to provide optimal solutions
Improved Productivity and Operational Efficiency

Enhanced Productivity and Cost Reduction

Automatic generation of customized reports and Automated data processing for Enhanced productivity and cost reduction

Document Management and Monitoring

Maximize operational efficiency through systematic monitoring from document classification to quality control
Enhanced Business Decision Making

Data-driven Decision Making

Swift and accurate strategy development through refined data

Data Analysis and Visualization

Provide better insights through intuitive and in-depth data analysis

70% reduction in data construction period

Service quality improvement
(original image, table, chart search)
Improved search accuracy
(existing RAG 72.5%)

Enhanced LLM accuracy
(existing RAG 82.5%)

AgileSoDA is here for you.