A New Paradigm for AI Development
Praxos reshapes the basic process of AI application development, realizing the transformation from a fragile one-time solution to a robust and scalable system. Its core process includes: first accessing diverse data sources via SDK/API; then automatically parsing raw data and establishing semantic associations; and finally building a unified knowledge graph.
This process solves the two major pain points of traditional AI development: first, it eliminates the tedious manual work of data cleaning and organizing, which is automatically completed by the system; second, it provides a standardized data processing method, and developers no longer need to repeatedly build data processing solutions for each project. In the practice of the insurance industry, brokers only need to upload customer documents, and the system can automatically build a complete knowledge base of customer information.
Based on this structured knowledge base, developers can build more complex and reliable AI applications, and Y Combinator's support of Praxos confirms the business value and technical promise of this development paradigm.
This answer comes from the articlePraxos: building a reliable structured knowledge base for AI intelligencesThe
