Abstract: In some aspects, the techniques described herein relate to a method including: receiving, from a query interface, a natural language query; encoding the natural language query into tokens; embedding the tokens into a natural language query vector, wherein the natural language query vector represents a semantic meaning of the natural language query; formatting an index query of an index datastore, wherein the index query includes the natural language query vector as a lookup parameter of the index query; receiving, as a response to the index query, a document set; passing the document set and the natural language query to a machine learning model; receiving a response to the natural language query from the machine learning model, wherein the response is based on the document set; and providing the response to the natural language query to the query interface for consumption.

Abstract: In some aspects, the techniques described herein relate to a method performed by a graph enrichment platform, including: receiving an unstructured data object; extracting a fact from the data object, in the form of a subject, a predicate and an object; generating a first new node, a second new node, and a first new edge from the data object; assigning properties to the first new node, the second new node, and the first new edge; predicting a second new edge, wherein the second new edge connects one of the first new node or the second new node to an existing node in the knowledge graph; preparing a graph update, wherein the graph update includes the first new node, the second new node, the first new edge, and the second new edge; performing a conflict check on the graph update; and pushing the graph update to the knowledge graph.

Abstract: Examples provide order fulfillment that includes receiving an online order from a user. An initial distribution hub for delivery of the order is identified and the order routed from the initial distribution hub to an intermediate hub. A notification of receipt of the order at the intermediate hub is received and a user location is determined. A plurality of options for routing the order to a next hub based on the user location and a cost associated with routing the order to the next hub are identified. The cost is based on a bidding process performed among a plurality of possible hubs to which the order will be routed. The order is routed to the next hub in response to a user confirmation of acceptance of a change in delivery location for the order.

Abstract: Examples provide order fulfillment that includes receiving an online order from a user. An initial distribution hub for delivery of the order is identified and the order routed from the initial distribution hub to an intermediate hub. A notification of receipt of the order at the intermediate hub is received and a user location is determined. A plurality of options for routing the order to a next hub based on the user location and a cost associated with routing the order to the next hub are identified. The cost is based on a bidding process performed among a plurality of possible hubs to which the order will be routed. The order is routed to the next hub in response to a user confirmation of acceptance of a change in delivery location for the order.