Solution Overview
RETRIEVER
LLM-based Data Processing & Analysis Platform
RETRIEVER is an intelligent data retrieval and analysis platform that uses LLMs to search, synthesize, and present insights from large enterprise knowledge bases. Think of it as an AI analyst that can instantly answer complex business questions by searching across all your data sources.
Why teams choose it
- Connects disconnected enterprise sources into one searchable knowledge layer.
- Pairs semantic retrieval with grounded response generation and citations.
- Designed for teams that need discoverability, trust, and access-aware answers.
System Architecture
Key Features
Semantic Search
Go beyond keyword matching with vector-based semantic search that understands intent and context across all documents.
Knowledge Graph
Automatically build a knowledge graph that surfaces relationships between entities, documents, and concepts.
Multi-source RAG
Retrieval-Augmented Generation (RAG) pipelines that draw answers from databases, files, APIs, and internal wikis simultaneously.
Real-time Indexing
New documents and data changes are indexed in near real time, ensuring search results are always current.
Natural Language Queries
Ask business questions in plain Korean or English and receive synthesized, source-cited answers instantly.
Explainable AI
Every answer includes transparent reasoning traces and confidence scores so users can trust and verify results.
Role-based Access
Granular access controls ensure users only retrieve information they are authorized to see.
Citation Tracking
All AI-generated answers are linked back to their source documents with precise passage-level citations.
API Integration
Open REST and GraphQL APIs allow RETRIEVER to be embedded in existing portals, chatbots, and business applications.
Key Benefits
Research Time
Reduce the time analysts spend searching for information across disconnected systems.
Answer Accuracy
RAG-powered responses achieve over 95% relevance accuracy on enterprise knowledge bases.
Knowledge Coverage
Index and make searchable millions of documents across all enterprise data sources.
Productivity Gain
Knowledge workers reclaim hours per week previously lost to manual information retrieval.