An enormous amount of valuable information is created within social innovation ecosystems. However, this knowledge is frequently fragmented across various documents, databases, and individual accounts, making it difficult to find, understand, and apply. This lack of a centralized, user-friendly hub prevents a shared understanding and hinders the development of new ideas based on what the community already knows. A solution is needed that can organize this information and transform it into a dynamic, collective resource. Different ecosystems, projects, and communities generate a wealth of valuable knowledge—from data and reports to best practices—but this information often remains scattered and underutilized. To unlock the full potential of collective intelligence, we need a solution that not only makes this knowledge visible and accessible but also provides an interactive, AI-assisted interface for discovery and insight generation. In this project we aim at designing a user interface that provides a clear, high-level overview of the knowledge base's content and structure. This interface should be intuitive for both experts and newcomers, allowing them to quickly discover relationships between different data points (e.g., projects, people, reports, and concepts). How might we create simple and easy AI tools to assist the users to find the meaningful information and understand the relations of the findings and results?