WhyHow Knowledge Graph Studio
Open source Knowledge Graph Studio helps build dynamic graph AI workflows
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- Rule based entity parsing: Provides rule-based entity recognition and parsing functionality.
- Modular graph construction: Supports modular graph construction methods for easy management and expansion.
- Flexible data ingestion: allows for data ingestion from multiple data sources, including structured and unstructured data.
- API priority design: Provide RESTful API interfaces for developers to quickly integrate and develop.
- • Support SDK: Provide Python SDK to simplify interaction with knowledge graphs.
- Scalability: Built on top of NoSQL databases, easy to scale and fast data retrieval.
- Database independence: Designed to support multiple types of databases, including relational and graphical databases.
Product Details
WhyHow Knowledge Graph Studio is an open-source platform designed to simplify the process of creating and managing RAG native knowledge graphs. This platform provides rule-based entity parsing, modular graph construction, flexible data ingestion, API first design, and supports SDK. It is built on NoSQL databases and provides a flexible and scalable storage layer, making it easy to retrieve and traverse complex relational data. This platform is suitable for processing structured and unstructured data, constructing exploratory graphs or highly patterned constraint graphs, aiming to achieve scalability and flexibility, suitable for experimentation and large-scale use.
