Research & Insights

Engineering
Deep-Dives

Formal research and architectural white papers developed at Dextar. Our deep-dives focus on making AI deterministic, scalable, and enterprise-ready.

Data
Knowledge
Trust
Dextar_Sys_Visual // REV_2026
Engineering

Deterministic RAG: Beyond Probabilistic Retrieval

A comprehensive framework for building retrieval-augmented generation systems that guarantee citation accuracy and data sovereignty in enterprise environments.

RAGEnterprise AIArchitecture
2024-03-12
18 min read
Dextar_Sys_Visual // REV_2026
Strategy

Data Sovereignty in the Age of LLMs

Technical strategies for deploying large language models without compromising sensitive corporate data. Focuses on local inference and private cloud VPCs.

SecurityComplianceVPC
2024-01-25
12 min read
Dextar_Sys_Visual // REV_2026
Data Engineering

Operationalizing GraphRAG for Complex Schemas

An analysis of hybrid retrieval patterns combining vector search with knowledge graphs for multi-hop reasoning over relational databases.

Knowledge GraphsHybrid SearchData Modeling
2023-11-05
22 min read

In high-stakes environments, probabilistic retrieval introduces unacceptable risk. Our research focuses on deterministic approaches that give organizations confidence in every answer their systems produce.

Intelligence Briefing

Dextar Intelligence Briefing

Technical deep-dives on GraphRAG, bitemporal logic, and autonomous intelligence, delivered bi-weekly.

Hosted on Substack • Engineering-first content • Bi-weekly