TextGraph AI
Transform unstructured data from documents into sophisticated Knowledge Graphs (KGs) and unlock intelligent question-answering
Discover hidden patterns and relationships in data
Leverage data insights towards better decision making, operational efficiency, and competitive advantage
Refine entities and relations in graph by providing ontology
GraphRAG enhances reponses by incorporating entities and relationships as context, providing more nuanced and accurate answers
Organizations handle various documents like contracts, policies, emails, and proposals.
Effective Knowledge Management (KM) is key for organizing, sharing, and collaborating on this information.
To improve this, data from different formats (text, presentations, voice clips) should be integrated and visualized.
Transforming documents into a Knowledge Graph is the solution. Nodes represent entities, and links show their relationships.
Knowledge Graphs offer richer context, simplify complexity, and enable advanced search and reasoning. They support pattern searches and semantic similarity, and help create domain-specific ontologies.
TextGraphAI converts documents into Knowledge Graphs and queries them with GraphRAG.
The platform generates schemas to structure knowledge from documents, with customization and licensing support from Lymba.
