All work

AI / Machine Learning

Editor and co-author of 40+ articles for Superlinked’s VectorHub — a technical education platform on vector search, retrieval-augmented generation, and recommender systems (2023–present). Selected pieces: VectorHub ↗VectorHub case study →

Improving RAG with RAPTOR VectorHub · 2024 · Editor
Improving RAG performance with Knowledge Graphs VectorHub · 2024 · Editor
Scaling RAG for Production VectorHub · 2024 · Editor
A Comprehensive Tutorial on Advanced Retrieval-Augmented Generation VectorHub · 2024 · Editor
Optimizing RAG with Hybrid Search & Reranking VectorHub · 2024 · Editor
Multi-attribute search with vector embeddings VectorHub · 2024 · Editor
Retrieval from Image and Text Modalities VectorHub · 2024 · Editor
Unlocking LLM Power with Organizational Knowledge-Graph Ontologies VectorHub · 2024 · Co-author
Your RAG application is a communication system VectorHub · 2024 · Editor
Representation Learning on Graph-Structured Data VectorHub · 2024 · Editor
Superlinked — Entre marketing case study Superlinked · 2024 · Author Build an AI System to Recommend You the Jazziest Pants (or Any Other Apparel) on the Planet HackerNoon · 2025 · Editor Stop Scrolling, Start Building: Create Your Own AI Movie Recommender HackerNoon · 2025 · Editor Build a Monster-Finding Tool for Your Next D&D Session HackerNoon · 2025 · Editor Address Obfuscation Ekata engineering newsletter · 2021 · Editor Ekata’s Machine Learning Identity Check Confidence Score Crunch Data Conference · 2019 · Editor

Background

Robert Turner holds a PhD in Government from Cornell University (Mellon Foundation Completion Fellowship; Russell Sage Foundation Graduate Fellowship). From 2010–2013 he was a research associate at the Institute for Clinical Evaluative Sciences (ICES) and Women’s College Hospital, Toronto, collaborating on epidemiology research from grant application through publication.