Distributed Knowledge Infrastructure
Built on a service-mesh architecture optimized for low-latency semantic search, real-time graph traversal, and horizontally scalable AI inference.
Core Components
Modular, loosely coupled services designed for independent deployment, observability, and fault isolation.
🔍 Semantic Search Engine
Combines lexical matching with contextual embeddings. Supports multi-language query expansion, synonym resolution, and intent classification for precision recall.
🕸️ Knowledge Graph Processor
Dynamic entity-resolution pipeline that ingests structured/unstructured data, deduplicates entities, and constructs hyperedges representing cross-domain relationships.
🤖 AI Inference Cluster
GPU-optimized serving layer for LLM-based summarization, citation verification, and automated content generation with strict hallucination guardrails.
🛡️ Verification & Audit Service
Automated fact-checking layer that cross-references claims against peer-reviewed sources, tracks editorial provenance, and maintains immutable change logs.
Ingestion & Processing Pipeline
From raw submission to published, verified knowledge — every piece of content passes through a deterministic, auditable workflow.
Source Ingestion
Multi-format ingestion (PDF, HTML, JSON-LD, academic APIs) with schema validation and metadata extraction via OCR and NLP parsers.
Entity Extraction & Deduplication
Named Entity Recognition (NER) maps concepts to the central ontology. Fuzzy matching and canonical ID assignment prevent fragmentation.
AI Verification & Enrichment
LLM-based cross-referencing against trusted corpora. Confidence scoring, citation generation, and bias detection before human review.
Graph Construction & Indexing
Entities and relationships are committed to the property graph. Vector embeddings are computed and synced to the search cluster.
Publish & Edge Sync
Versioned snapshots are deployed to CDN edge nodes. Incremental updates propagate via event-driven mesh networking.
Design Principles
Event-Driven Architecture
Async message buses (Kafka/Pulsar) decouple services, enabling real-time propagation and auditability.
Immutable Data Models
Append-only storage ensures reproducibility. Every edit creates a new version with cryptographic lineage.
Multi-Region Active-Active
Geo-replicated clusters with automatic failover. Read consistency tunable per workload (strong/eventual).
Zero-Trust Security
mTLS between services, short-lived JWTs, hardware-backed key management, and continuous compliance scanning.
Observable by Default
OpenTelemetry instrumentation across all layers. Distributed tracing, structured logging, and SLO-driven alerts.
Green Compute Optimization
Model quantization, spot-instance orchestration, and carbon-aware scheduling to minimize inference footprint.
Technology Stack
Open-source first, battle-tested components selected for performance, extensibility, and community support.
Languages
Frameworks
Databases
AI / ML
Infrastructure
Security
API & Integration
Access the knowledge graph, semantic search, and AI verification endpoints via REST and GraphQL. Rate limits, webhooks, and sandbox environments included.