Research Hub

Exploring the current state of AI research, Knowledge Graphs, Large Language Models, Natural Language Processing, and their applications in mission-critical domains.

Filter by:
Showing 5 articles
The Grand Challenges of Neuro-Symbolic AI New
February 12, 2026 25 min read

The Grand Challenges of Neuro-Symbolic AI: Open Problems and Future Directions

A blue-sky analysis of the most pressing research challenges at the intersection of knowledge graphs, large language models, and multi-agent systems. Explores hallucination mitigation, billion-scale reasoning, temporal knowledge, causal inference, interpretability, cross-domain generalization, privacy-preserving intelligence, and automated knowledge curation with proposed solutions for advancing the field.

Research Challenges Neuro-Symbolic AI LLMs Opinion Piece
Read Full Article →
Knowledge Graph Evaluation: Metrics, Methodologies, and Best Practices New
February 11, 2026 35 min read

Knowledge Graph Evaluation: Metrics, Methodologies, and Best Practices

A comprehensive framework for assessing knowledge graph quality through intrinsic and extrinsic evaluation. Covers completeness, correctness, consistency metrics for mission-critical applications in healthcare and business intelligence, with human-in-the-loop improvement strategies and iterative refinement cycles.

Knowledge Graphs Data Quality Evaluation Metrics Healthcare
Read Full Article →
Multi-Agent AI Systems for Knowledge Graph Creation
February 8, 2026 30 min read

Multi-Agent AI Systems for Knowledge Graph Creation: A System Design Architecture

Comprehensive system design for building scalable multi-agent AI systems for autonomous knowledge graph construction. Learn about data pipeline architecture, distributed processing, database sharding for billions of triples, microservices deployment, and scaling from data lakehouses to production.

Multi-Agent Systems System Design Microservices Distributed Systems
Read Full Article →
Building Knowledge Graphs from Scratch
February 3, 2026 25 min read

Building Knowledge Graphs from Scratch: A Practical Engineering Guide

From entity extraction to billion-scale deployment: A comprehensive walkthrough of NLP techniques, graph construction, and scalable system architecture with production-ready code examples. Learn how to extract entities and relations from unstructured data, build graphs with Neo4j, and scale to 50M+ triples.

Knowledge Graphs NLP Graph Databases System Design
Read Full Article →

More Articles Coming Soon

Stay tuned for more technical articles on AI research, Knowledge Graph engineering, and practical implementations of neuro-symbolic systems.

Stay Updated

Connect with me on LinkedIn or GitHub to get notified when new articles and research publications are released.

Follow on LinkedIn Follow on GitHub