Automatic generation of data objects from user input

Abstract

The present disclosure relates to techniques for automatically generating new data objects from user input. The system receives user input comprising a plurality of words and executes a first query on a vector store to identify schema elements similar to keywords in the user input. The vector store provides a response with similarity scores for identified elements. A second query is executed on a knowledge graph to identify association paths between data objects that include the identified elements. The knowledge graph response includes association information linking source and target data objects through selected elements. Full association paths are constructed from this information, and a command is generated to instantiate a new data object with elements corresponding to the user input. This approach leverages the strengths of large language models, vector stores, and knowledge graphs to efficiently and accurately create new data objects, ensuring data integrity and relevance.