Abstract: A method and server for storing documents in a database system is disclosed. The method includes acquiring document data associated with the documents. For each document, a Machine Learning Algorithm is employed to generate respective document vectors based on the respective document data. The method also includes storing the documents as groups of documents in the database system. Each group of documents is associated with a respective group vector. A given group of documents has documents associated with document vectors that are in a spatial proximity to the respective group vector.

Abstract: A method and a system for updating a search index divided into a plurality of chunks, each chunk including a portion of a plurality of documents, comprising: receiving a request to update a set of documents including deletion of a first subset of documents, computing for each given chunk of a set of chunks, each given chunk including at least one document of the first subset: an active size of a set of active documents, the set of active documents not including the at least one document, a total size, the total size not including the at least one document and a ratio of the active to the total size, duplicating, based on the ratio, a subset of chunks to obtain a subset of candidate chunks, updating the set of documents in the subset of candidate chunks, replacing the subset of chunks with the subset of candidate chunks.

Abstract: A method and server for storing documents in a database system is disclosed. The method includes acquiring document data associated with the documents. For each document, a Machine Learning Algorithm is employed to generate respective document vectors based on the respective document data. The method also includes storing the documents as groups of documents in the database system. Each group of documents is associated with a respective group vector. A given group of documents has documents associated with document vectors that are in a spatial proximity to the respective group vector.

Abstract: A method and a system for updating a search index divided into a plurality of chunks, each chunk including a portion of a plurality of documents, comprising: receiving a request to update a set of documents including deletion of a first subset of documents, computing for each given chunk of a set of chunks, each given chunk including at least one document of the first subset: an active size of a set of active documents, the set of active documents not including the at least one document, a total size, the total size not including the at least one document and a ratio of the active to the total size, duplicating, based on the ratio, a subset of chunks to obtain a subset of candidate chunks, updating the set of documents in the subset of candidate chunks, replacing the subset of chunks with the subset of candidate chunks.