Case Studies

Applied Work

Platform

Kashef GraphRAG

Knowledge Graphs Multi-Agent Multi-Hop Reasoning

Built from experience tackling literature synthesis challenges in agricultural research—designed from the ground up for multi-hop scientific reasoning.

The Challenge

Research teams spend weeks manually reviewing literature, missing connections across papers, and struggling to synthesize findings. Complex questions require reasoning across multiple sources—something traditional search can't do.

The Platform

  • PDF to structured data — Extract entities, relationships, and claims from papers
  • Knowledge graph engine — Flexible graph computation & query infrastructure
  • Specialized agents — Multi-step planning & task execution for complex queries
  • UI + CLI — Full interfaces for both interactive and programmatic use

Capabilities

3,000+

Papers indexed

Multi-Hop

Cross-paper reasoning

Traceable Answers

Every claim backed by citations with full provenance

Long-Horizon Planning

Agents decompose complex questions into executable steps

Latest Insights

Thoughts & Updates

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Who We Are

Research-Driven Leadership

Deep expertise in knowledge engineering, machine learning, and agricultural science.

Hamze Dokoohaki

Hamze Dokoohaki, PhD

Founder & Principal Consultant

Former Principal Data Scientist at Indigo Agriculture and Assistant Professor at UIUC. 10+ years building AI systems for agriculture and scientific discovery—from crop yield prediction to knowledge-guided ML.

Ex-Indigo Ag UIUC Faculty PhD Iowa State
Ready to Transform Your AI?

Let's Build Intelligence That Reasons

Whether you're synthesizing scientific knowledge or predicting agricultural outcomes, we can help you build AI grounded in domain expertise.

Email

para2x@gmail.com

Location

New York Area, USA

Send Us a Message

We'll respond within 2 business days.