From Tables to Vectors: LLM Vector Database Architecture
Comprehensive research on how database evolution explains LLM functionality, vector embeddings, and semantic search architecture.
Read PDFOriginal research and technical analysis on AI, databases, and technology architecture
Comprehensive research on how database evolution explains LLM functionality, vector embeddings, and semantic search architecture.
Read PDFSpecification language for LLM-driven application development with two primitives (Entity + Transition) and 6-gate validation pipeline.
Read HTMLTwo-layer sovereignty architecture enabling GDPR compliance through structurally separable AI systems with hierarchical semantic routing.
In PreparationResearch on consensus mechanisms across diverse LLM architectures for improved accuracy, reliability, and bias detection.
In Preparation