Knowledge Graph for SUI Grants

Knowledge Graph for SUI Grants by Venture23

Introduction

Grants are one of the most crucial elements supporting startups and innovation. With the growing need for grants every day, proper evaluation of grant proposals is essential to ensure that funding is allocated to the most promising project. To address this need, we introduced our project, Knowledge Graph for SUI Grants on SUI Overflow. It leverages Large Language Models (LLMs) and Knowledge Graphs, focusing on the SUI blockchain, to streamline and enhance the grant proposal evaluation process.

Problem Statement

Evaluating submitted grant proposals is filled with challenges:

• Proposals often contain repetitive content.
• Manual evaluation is time-consuming and inefficient.
• Inefficiency hampers the quick identification of innovative and impactful ideas.
• Identifying connections between multiple proposals can be difficult.

Our Solution

The Knowledge Graph for SUI Grants addresses these challenges by combining Large Language Models (LLMs) and dynamic Knowledge Graphs. Here’s how it works:

• Large Language Models (LLMs): LLMs extract detailed information from uploaded proposals, generating entity and relationship schemas. This process provides a clear understanding of the proposals’ content and their interconnections.
• Knowledge Graphs: These schemas are used to construct dynamic Knowledge Graphs, visualizing relationships and similarities between proposals. This helps identify redundancies and uncover hidden connections.
• GraphRAG Integration: User queries retrieve structured data from the Knowledge Graph, combining relevant information from documents and generating robust, insightful responses.

Methodology

1. Data Extraction: LLMs extract detailed information from proposals.
2. Schema Generation: Entity and relationship schemas are generated to map out the proposal content.
3. Graph Construction: Dynamic Knowledge Graphs are constructed using these schemas, visualizing relationships and similarities.
4. Data Retrieval: GraphRAG integration allows efficient retrieval of structured data from graphs and relevant context from documents generating robust responses to user queries and facilitating decision-making.

Benefits

The Knowledge Graph project offers numerous benefits:

• Saves Time and Resources: Automates the evaluation process, reducing the time and effort required.
• Focus on Innovation: Facilitates quick identification of truly innovative projects.
• Improved Decision-Making: Provides clear insights and visual representations, enhancing decision-making processes.
• Brainstorming New Ideas: Identifies hidden connections between proposals, inspiring new ideas and collaborations.

Impact on SUI Foundation

The Knowledge Graph project significantly enhances the SUI Foundation’s efficiency and effectiveness:

• Enhanced Efficiency: Streamlines the evaluation process, reducing time and effort.
• Better Decision-Making: Empowers the foundation with clear, insightful data, improving decision-making.
• Greater Impact: Helps the foundation fund more innovative projects, driving greater community impact.

Conclusion

The Knowledge Graph for SUI Grants is transforming how grant proposals are evaluated. Integrating advanced AI technology, it simplifies the evaluation process and provides valuable insights. This innovative tool helps the Sui Foundation make smarter decisions, fostering greater innovation and impact in the blockchain space.