InfraNodus
Integrates InfraNodus knowledge graph and text network analysis capabilities into large language model workflows and AI assistants.
About
InfraNodus transforms unstructured text into structured insights by applying advanced network science algorithms. This server empowers LLM workflows and AI assistants to generate knowledge graphs, identify main topical clusters, detect content gaps, and augment responses with data-driven insights, enhancing their ability to analyze and comprehend complex information from text network analysis.
Key Features
- Automatic topic clustering and categorization of concepts
- Detection of missing connections and underexplored topics (content gaps)
- Clean extraction of names, places, and organizations (entity recognition)
- AI-powered topic naming and analysis enhancement
- Identification of influential nodes and community structures through structural analysis
- 4 GitHub stars
Use Cases
- Connect existing knowledge graphs to LLM workflows and AI chats
- Identify main topical clusters and nuances in discourse
- Detect content gaps for content creation and research