Technical Architecture
Production-grade infrastructure powering the Wittgenstein Semantic Knowledge Platform
Enterprise Knowledge Pipeline
From raw data to actionable intelligence
Data Sources
Databases, APIs, Documents, Cloud Storage
Connectors & Ingestion
Semantic Analysis
NERRelationsContext
Business Ontology
gist + Custom Domain Models
Dynamic UpdatesSemantic Enrichment
Entity linking, classification, embeddings
Unified Knowledge Graph
Inference
ML-powered reasoning
Time-Aware
Historical versions
Federated
Data stays at source
Query Processing
Hybrid Search
RAG
Vector + LLM
BM25
Keyword search
Graph
Traversal queries
Natural Language Interface
Human Users
Natural language queries, dashboards, reports
AI Agents
Autonomous tasks, workflows, automation
Semantic Governance Layer
Role-based access, audit trails, concept-level permissions
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