Products/KYRA RAG
KYRA RAG

Intelligent Knowledge
Retrieval & Generation

An AI response generation platform leveraging enterprise knowledge for accurate and reliable answers. Connect internal documents, databases, and APIs to provide contextually relevant responses.

95%+
Response Accuracy
<2s
Response Time
100+
Data Sources
10M+
Documents Processed
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Architecture

Enterprise-Grade
RAG Pipeline

End-to-end RAG pipeline from data ingestion to response generation. Accurate answers powered by vector databases, semantic search, and LLM integration.

01Data SourcesDocuments, DB, API, Web Integration
02Data ProcessingChunking, Embedding, Indexing
03RAG EngineSemantic Search & Context Augmentation
04Response GenerationLLM Integration, Citation Display
KYRA RAG ARCHITECTURERetrieval-Augmented Generation ArchitectureData SourcesMulti-format data ingestionDocument StoreDatabasesExternal APIsWeb CrawlingProcessing PipelineData transformation & indexingChunkingEmbeddingVector IndexingMetadata ExtractKYRA RAG EngineCore RAG ProcessingSemantic SearchContext AugmentPrompt OptimizeRe-rankingResponse GenerationLLM-powered outputLLM Integration (GPT, Claude)Citation & Source DisplayFact Check & ValidationIntelligent Search • Context Understanding • Accurate Response Generation

Features

Key Features

01

Data Ingestion

Data Ingestion

Automatically ingest and process documents in various formats including PDF, Word, Excel, and HTML.
Multi-format SupportReal-time Updates
02

Semantic Search

Semantic Search

Find relevant information accurately based on meaning, not just keywords.
Vector DatabaseHybrid Search
03

Response Generation

Response Generation

Generate accurate and natural responses based on retrieved information.
LLM IntegrationSource Citations

RAG Pipeline

Intelligent Knowledge Flow

5-stage RAG pipeline providing automated knowledge processing from data ingestion to response generation.

RAG PIPELINERetrieval-Augmented Generation PipelineSTEP 01IngestData CollectionCollect & parseSTEP 02EmbedVectorizationGenerate vectorsSTEP 03RetrieveSearchFind relevant infoSTEP 04AugmentContextAdd contextSTEP 05GenerateOutputCreate responseData PreparationIndexing & StorageCore RAG ProcessingSearch & AugmentationResponse GenerationLLM OutputReal-time Processing • Accurate Retrieval • Context-Aware Responses

Capabilities

Core Capabilities

Semantic Search

Find relevant information accurately with meaning-based search

Context Augmentation

Enrich prompts with search results to improve accuracy

Multi-Source Integration

Unify diverse data sources into a single knowledge base

Real-time Processing

Support real-time conversations with sub-2-second response times

Continuous Learning

Continuously improve response quality with user feedback

Built-in Security

Ensure enterprise security with data access control and audit logging

Why KYRA RAG

Overcome the Limitations
of Traditional AI

Solve Hallucination Issues

Eliminate AI hallucination problems by grounding responses in your enterprise knowledge base. Ensure reliability with source citations and references.

Fast Response Speed

Guarantee sub-2-second response times with optimized vector search and caching. Enable fast search even across large document collections.

Scalable Architecture

Provide scalable architecture capable of processing over 10 million documents. Flexibly scale according to enterprise size.

Need Knowledge-Based
AI?

Experience accurate AI responses leveraging your enterprise knowledge with KYRA RAG.

Request Demo
+82-2-2039-8160
contact@seekerslab.com