9. One or more non-transitory computer-readable media storing computer-executable instructions which, when executed by a processor on a computer system, perform a method for natural language searching comprising: searching an index using key words from a user's natural language question and the context of the user's question, said index contains information which references a domain model; saving a plurality of documents obtained in response to the search of the index; mapping each of the documents as a node into an object graph, wherein each node is associated with a parent node, except when the node is a root node; identifying the root node of each document; identifying the path of each node from the node to the node's root node, wherein said path comprises a plurality of nodes that connect the node to the root node; identifying a plurality of matching paths, wherein each matching path provides an answer to the user's natural language question, each of said plurality of paths that comprises a discrete path of nodes; filtering out paths depending on a set of the user's pre-specified criterion, said criterion including a weighting factor specifying a relative level of importance associated with receiving information at a high speed; ranking the remaining paths; and displaying a selected answer to the user, in response to the ranking and filtering.
10. The method of claim 9 further comprising prompting the user for additional information if a discrete path associated with an answer to the user's question is not found.