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XRag

Enterprise RAG Platform

AI That Finds Answers From Enterprise Documents

Find information quickly and accurately from enterprise documents with Dense Vector + BM25 + TEXT_MATCH 3-Way hybrid search. Integrated with Milvus vector DB, multimodal OCR, and Korean-optimized NLP, AI understands context to provide precise answers.

Core Values

3-Way Hybrid Search

Maximize search accuracy by combining Dense Vector (semantic search), BM25 (keyword matching), and TEXT_MATCH (exact match). Leverage the strengths of each approach for optimal results without missing documents.

Milvus Vector Database

Built on Milvus optimized for large-scale vector search, enabling millisecond searches across millions of documents. Ensures scalability and high availability.

Multimodal OCR Pipeline

Extract text from PDFs, images, and scanned documents, converting tables and charts to structured data. Can recognize handwriting and stamps.

Korean-Optimized NLP (Kiwi)

Leverage Kiwi morphological analyzer to accurately understand Korean documents. Handles compound words, neologisms, and technical terms precisely.

Key Features

Multiple Search Strategies

Select or combine optimal search strategies for your use case.

  • Dense Vector: Semantic similarity document search
  • BM25: Keyword-focused precise search
  • TEXT_MATCH: Exact phrase matching search
  • Hybrid: Weight-based combined search

Document Processing Pipeline

Automatically process and index documents in various formats.

  • Formats: PDF, DOCX, PPTX, XLSX, TXT, HTML, Markdown
  • OCR: Tesseract + deep learning table extraction
  • Chunking: Semantic Chunking preserves context
  • Metadata: Auto-extraction and custom tags

Multi-LLM Support

Integrate various LLMs for answer generation.

  • OpenAI: GPT-4, GPT-4o, GPT-3.5 Turbo
  • Anthropic: Claude 3.5 Sonnet, Claude 3 Opus
  • Google: Gemini Pro, Gemini Ultra
  • Korean LLMs: EXAONE, HyperCLOVA X

Async Processing (Celery)

Perform large document processing asynchronously to maintain system responsiveness.

  • Batch upload: Process thousands of documents at once
  • Progress: Real-time processing status monitoring
  • Retry: Automatic reprocessing of failed jobs
  • Priority: Priority processing for urgent documents

Conversational Q&A

Ask questions in natural language and receive accurate document-based answers.

  • Context retention: Follow-up conversations based on previous questions
  • Source citation: Display source documents and pages
  • Confidence score: Display answer confidence level
  • Multi-language: Questions and answers in Korean/English/Japanese/Chinese

Enterprise Security

Provides enterprise-grade security and access control.

  • Per-document access permissions
  • Role-based access control (RBAC)
  • Audit logs: Record all access and queries
  • Data encryption: Encryption at rest and in transit

Use Cases

Internal Knowledge Search

Search internal policies, manuals, and guidelines in natural language. Instantly answer questions about onboarding, policies, and procedures.

Customer Support Automation

Auto-generate answers to customer questions from product manuals, FAQs, and technical documents. Assist agents to reduce response time.

Legal/Contract Document Analysis

Quickly find specific clauses, obligations, and risk factors in contracts and legal documents. Dramatically reduce legal team document review time.

R&D Document Management

Search for related research in reports, patents, and technical documents. Prevent duplicate research and effectively leverage existing results.

Technical Specifications

Search EngineMilvus 2.x, Elasticsearch (BM25), PostgreSQL (TEXT_MATCH)
Embedding ModelsOpenAI text-embedding-3-large, BGE-M3, KoSimCSE
Supported Document FormatsPDF, DOCX, PPTX, XLSX, TXT, HTML, Markdown, Images (JPG, PNG)
OCR EngineTesseract 5.x + PaddleOCR + Custom Table Extraction
Korean NLPKiwi 0.16+, KoNLPy, Custom Tokenizer
Async ProcessingCelery + Redis/RabbitMQ, Kubernetes Job Scheduler
PerformanceSearch 1M documents in under 50ms, index 100K documents daily
SecurityRBAC, End-to-end Encryption

Unlock the Potential of Your Enterprise Documents

Find information from enterprise documents quickly and accurately with XRag.