Knowledge Graph Suite for Reliable AI

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Ramin Barati
Project Owner

Knowledge Graph Suite for Reliable AI

Expert Rating

n/a

Overview

We propose the development of a domain-agnostic tooling suite, comprising KGTool and KG Studio, to automate the construction, processing, and interrogation of knowledge graphs (KGs) for scientific literature. By integrating large language models with graph-based reasoning, the system will support end-to-end workflows: from entity/relation extraction through graph refinement and fact-grounded generation to interactive visualization. This infrastructure will enable reliable, explainable AGI reasoning over diverse research corpora.

RFP Guidelines

Advanced knowledge graph tooling for AGI systems

Internal Proposal Review
  • Type SingularityNET RFP
  • Total RFP Funding $350,000 USD
  • Proposals 40
  • Awarded Projects n/a
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SingularityNET
Apr. 16, 2025

This RFP seeks the development of advanced tools and techniques for interfacing with, refining, and evaluating knowledge graphs that support reasoning in AGI systems. Projects may target any part of the graph lifecycle — from extraction to refinement to benchmarking — and should optionally support symbolic reasoning within the OpenCog Hyperon framework, including compatibility with the MeTTa language and MORK knowledge graph. Bids are expected to range from $10,000 - $200,000.

Proposal Description

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  • Total Milestones

    3

  • Total Budget

    $60,000 USD

  • Last Updated

    27 May 2025

Milestone 1 - Research & Design (1 Month)

Description

Define requirements for both the application layer (KG Studio) and core library (KGTool). Research optimal features and methods to meet user needs and technical goals.

Deliverables

(1) Comprehensive list of key features and user stories (2) Selection of algorithms methods and techniques to implement (3) Curated set of real-world datasets and evaluation metrics (4) System architecture diagrams and design documentation (5) Detailed timeline for implementation tasks

Budget

$12,000 USD

Success Criterion

(1) Feature list and user stories approved by stakeholders (2) Algorithms and evaluation plan validated for feasibility (3) Architecture and timeline reviewed and signed off

Milestone 2 - MVP Development & Evaluation (2 Months)

Description

Develop a minimum viable product demonstrating core end-to-end scenarios implement evaluation tools and conduct initial benchmark tests.

Deliverables

(1) Finalized feature set and user stories (2) MVP including KGTool core functions API endpoints and basic KG Studio workflows (3) Evaluation toolkit for measuring KGTool performance (4) Interim report detailing benchmark results and insights

Budget

$24,000 USD

Success Criterion

(1) MVP passes predefined functional tests for each workflow (2) Evaluation toolkit generates usable performance metrics (3) Benchmark report highlights strengths and areas for improvement

Milestone 3 - Final Delivery & Documentation (2 Months)

Description

Complete all components package the framework for distribution produce full documentation and deploy a demonstration website.

Deliverables

(1) Final technical report with performance analysis and recommendations (2) Packaged releases of KGTool KG API and KG Studio (3) Comprehensive developer and end-user documentation (4) Roadmap outlining future research and development directions (5) Live demonstration website showcasing KG Studio

Budget

$24,000 USD

Success Criterion

(1) All code and documentation published in public repository (2) Demo website operational and accessible to reviewers (3) Stakeholder approval of final deliverables and project completion

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