Abstract: A wave energy converter that has waveguides affixed radially around a compression chamber to form wave channels to amplify movement of the surface of the ocean in the compression chamber is positioned a distance above a first heave plate. A dock frame is affixed to the bottom of the first heave plate, with a second heave plate comprising ramps extending radially outward and downward from the dock frame, and lobes extending radially outward from the ramps, so that the lobes define V-shaped dock frame channels between the lobes and the ramps define dock frame slots between the ramps. Charging interfaces are provided at the dock frame slots configured to receive an electrically conductive portion of an autonomous underwater vehicle. The V-shaped dock frame channels guide the autonomous underwater vehicle towards and into the dock frame slots, so that the electrically conductive portion is received by a charging interface for charging and communicating with the autonomous underwater vehicle.

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

Abstract: Techniques for intaking one or more documents are described. An exemplary method includes receiving an ingestion request to ingest a document; extracting text from the document; pre-processing the extracted text to generate pre-processed text that is predictable and analyzable; generating an index entry for the extracted text, the index entry to map the extracted text to a reserved field of a plurality of reserved fields; and storing the extracted text, index entry, and pre-processed text in at least one data storage location.

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

Abstract: Techniques for intaking one or more documents are described.