Abstract: A device is disclosed that monitors connectors deployed in a data collection system. The device deploys a data connector generated from a connector knowledge representation, the connector knowledge representation generated from an API source knowledge graph using a large language model. The device receives information describing a defect reported in connection with the deployed data connector, and determines a portion of the connector knowledge graph associated with the defect. The device maps the portion of the connector knowledge graph to a portion of the API source knowledge graph and identifies a portion of an API documentation associated with the portion of the API source knowledge graph. The device reports information describing the defect, the information comprising at least a portion of the API documentation associated with the portion of the API source knowledge graph.

Abstract: A device that generates a data connector. The device accesses an index based on representations of documents storing information describing APIs for accessing data source systems, and generates a prompt for a LLM based on information extracted from the index that requests information for accessing data from the data source system. The device provides the generated prompt to the LLM and receives a response describing information associated with the data source. The device determines a measure of ambiguity for the response and, responsive to the measure of ambiguity indicating more than a threshold ambiguity, generates an additional prompt that requests more specific information compared to the information received in the response. The device generates a data connector based on a connector knowledge representation corresponding to the response and deploys the data connector for accessing data from the data source system.

Abstract: A device that generates a data connector. The device accesses an index based on representations of documents storing information describing APIs for accessing data source systems, and generates a prompt for a LLM based on information extracted from the index that requests information for accessing data from the data source system. The device provides the generated prompt to the LLM and receives a response describing information associated with the data source. The device determines a measure of ambiguity for the response and, responsive to the measure of ambiguity indicating more than a threshold ambiguity, generates an additional prompt that requests more specific information compared to the information received in the response. The device generates a data connector based on a connector knowledge representation corresponding to the response and deploys the data connector for accessing data from the data source system.

Abstract: A device is disclosed that monitors connectors deployed in a data collection system. The device deploys a data connector generated from a connector knowledge representation, the connector knowledge representation generated from an API source knowledge graph using a large language model. The device receives information describing a defect reported in connection with the deployed data connector, and determines a portion of the connector knowledge graph associated with the defect. The device maps the portion of the connector knowledge graph to a portion of the API source knowledge graph and identifies a portion of an API documentation associated with the portion of the API source knowledge graph. The device reports information describing the defect, the information comprising at least a portion of the API documentation associated with the portion of the API source knowledge graph.

Abstract: A device is disclosed for source knowledge generation. The device identifies external systems storing API documentation and crawls the external systems to extract documents representing information describing APIs for accessing the one or more data source systems. The device generates a plurality of vector representations by, for each document, providing the document to a large language model to generate a vector representation of the document and generates an index that maps each vector representation to its respective document. The device extracts information describing a data connector by querying the index, the query corresponding to a particular type of data source, and generates a connector representation based on the information describing the data connector extracted from the index, wherein the connector representation is used for generating and deploying a data connector for accessing data from a data source system of the particular type of data source.

Abstract: A device is disclosed for source knowledge generation. The device identifies external systems storing API documentation and crawls the external systems to extract documents representing information describing APIs for accessing the one or more data source systems. The device generates a plurality of vector representations by, for each document, providing the document to a large language model to generate a vector representation of the document and generates an index that maps each vector representation to its respective document. The device extracts information describing a data connector by querying the index, the query corresponding to a particular type of data source, and generates a connector representation based on the information describing the data connector extracted from the index, wherein the connector representation is used for generating and deploying a data connector for accessing data from a data source system of the particular type of data source.

Abstract: A device that generates a data connector. The device accesses an index based on representations of documents storing information describing APIs for accessing data source systems, and generates a prompt for a LLM based on information extracted from the index that requests information for accessing data from the data source system. The device provides the generated prompt to the LLM and receives a response describing information associated with the data source. The device determines a measure of ambiguity for the response and, responsive to the measure of ambiguity indicating more than a threshold ambiguity, generates an additional prompt that requests more specific information compared to the information received in the response. The device generates a data connector based on a connector knowledge representation corresponding to the response and deploys the data connector for accessing data from the data source system.

Abstract: A device is disclosed that monitors connectors deployed in a data collection system. The device deploys a data connector generated from a connector knowledge representation, the connector knowledge representation generated from an API source knowledge graph using a large language model. The device receives information describing a defect reported in connection with the deployed data connector, and determines a portion of the connector knowledge graph associated with the defect. The device maps the portion of the connector knowledge graph to a portion of the API source knowledge graph and identifies a portion of an API documentation associated with the portion of the API source knowledge graph. The device reports information describing the defect, the information comprising at least a portion of the API documentation associated with the portion of the API source knowledge graph.

Abstract: A device is disclosed for source knowledge generation. The device identifies external systems storing API documentation and crawls the external systems to extract documents representing information describing APIs for accessing the one or more data source systems. The device generates a plurality of vector representations by, for each document, providing the document to a large language model to generate a vector representation of the document and generates an index that maps each vector representation to its respective document. The device extracts information describing a data connector by querying the index, the query corresponding to a particular type of data source, and generates a connector representation based on the information describing the data connector extracted from the index, wherein the connector representation is used for generating and deploying a data connector for accessing data from a data source system of the particular type of data source.

Abstract: A system for automated reconfiguration of a commodity distribution system is provided. The system includes a plurality of nodes located in the distribution system and a plurality of node controllers. The node controllers control respective nodes in accordance with a first or second operating mode to affect system reconfiguration in response to a fault condition, loading, system optimization, system expansion and combinations thereof.

Abstract: A method for automated reconfiguration of a commodity distribution system is provided. The method includes operating a plurality of nodes located in the distribution system and a plurality of node controllers. The node controllers control respective nodes in accordance with a first or second operating mode to affect system reconfiguration in response to a fault condition, loading, system optimization, system expansion and combinations thereof.