Research Library
Whitepapers, technical guides, and architectural blueprints from the Adaptive Reasoning team.
AI Agents & Architectures
Agentic Data Layer & MultiModal RAG
AI Systems Optimization
Advanced Topics
Research
AI Agents & Architectures
Autonomous reasoning, multi-agent systems, cognitive architectures, and scalable AI infrastructure design.
NeuroCognitive Agent Brain Nodes for Medical Decision Making
A hierarchical node architecture modeling clinical cognition — perception, reasoning, memory, and action — for AI-assisted medical decisions.
Autonomous Agent Orchestration Frameworks
Design patterns for coordinating multiple specialized agents across long-horizon tasks with shared memory and goal alignment.
Multi-Agent Collaboration Patterns
Strategies for inter-agent communication, task delegation, and consensus mechanisms in distributed AI systems.
Reactive vs. Deliberative Agent Models
Comparative analysis of agent architectures — when to use fast reactive loops versus deep deliberation for time-sensitive decisions.
Research
Agentic Data Layer & MultiModal RAG
Unified data architectures, retrieval-augmented generation, and multimodal pipelines for AI-native systems.
Microsoft Fabric: Unified Analytics for AI Workloads
How Microsoft Fabric unifies data engineering, data science, and real-time analytics into a single SaaS platform for AI-driven enterprises.
Lakehouse Architecture for Enterprise AI
Combining the flexibility of data lakes with the reliability of data warehouses to power governed, AI-ready data platforms.
Vector Database Architectures for AI
A deep-dive into Pinecone, Weaviate, and pgvector — trade-offs in indexing strategy, query latency, and hybrid search capabilities.
RAG Foundations: From Naive to Advanced Retrieval
A progressive guide from simple embedding-based retrieval to re-ranking, contextual compression, and self-querying architectures.
Research
AI Systems Optimization
Engineering excellence, delivery pipelines, and platform tooling for production AI systems.
Harness Engineering
A deep-dive into Harness — the modern software delivery platform for CI/CD, feature flags, cloud cost management, and developer experience at scale.
RAGAS & DeepEval Metrics for AI System Evaluations
Applying RAGAS and DeepEval evaluation frameworks to tune and benchmark AI systems — integrating evaluation pipelines into Harness CI/CD to continuously measure faithfulness, relevancy, and correctness across production deployments.
Research
Advanced Topics
Frontier research in reasoning, intelligence layers, and emergent AI behavior.
Agent Tracing as Knowledge Graph
Representing multi-step agent execution traces as dynamic knowledge graphs — enabling causal reasoning, audit trails, and retrospective analysis of AI decisions.
3 Layer Intelligence Layers for Business Superintelligence
A framework for layered AI cognition — operational intelligence, strategic reasoning, and adaptive superintelligence — applied to enterprise decision-making at scale.
Emergent Reasoning in Large Language Models
Analyzing unexpected reasoning capabilities that arise at scale — chain-of-thought, self-consistency, and multi-step inference without explicit training.
Calibrated Uncertainty in AI Decision Systems
Techniques for quantifying model confidence, communicating epistemic uncertainty, and building AI systems that know the limits of their knowledge.