Abstract: Methods, apparatuses, and computer readable media are configured to perform operations comprising: obtaining, by a data management system (DMS), a first snapshot of a computing system; generating, by the DMS, one or more vectors based at least in part on data from the first snapshot, the one or more vectors representative of one or more respective portions of text within one or more files represented by the first snapshot; adding, by the DMS, the one or more vectors to a vector database along with metadata or a pointer to the metadata; storing, by the DMS, the one or more respective portions of text in a secondary storage environment; and adding, by the DMS to a mapping log, respective indications of mappings between the one or more vectors and the one or more respective portions of text.

Abstract: Methods, apparatuses, and computer readable media are configured to perform operations comprising: obtaining, by a data management system (DMS), a first snapshot of a computing system; generating, by the DMS, one or more vectors based at least in part on data from the first snapshot, the one or more vectors representative of one or more respective portions of text within one or more files represented by the first snapshot; adding, by the DMS, the one or more vectors to a vector database along with metadata or a pointer to the metadata; storing, by the DMS, the one or more respective portions of text in a secondary storage environment; and adding, by the DMS to a mapping log, respective indications of mappings between the one or more vectors and the one or more respective portions of text.

Abstract: Methods, systems, and non-transitory computer readable media are configured to perform operations comprising receiving an embedding vector associated with first data; permuting the embedding vector to generate a permuted embedding vector; and providing the permuted embedding vector to a vector database.

Abstract: Methods, apparatuses, and computer readable media are configured to perform operations comprising: obtaining, by a data management system (DMS), a first snapshot of a computing system, wherein the first snapshot comprises data associated with a set of files; determining, by the DMS, from among the set of files, a first subset of files or portions of files that comprise sensitive information; generating, by the DMS, one or more vectors based at least in part on data associated with a second subset of files or portions of files from among the set of files, the second subset of files or portions of files exclusive of files from the first subset of files or portions of files; and adding, by the DMS, the one or more vectors to a vector database along with metadata or a pointer to the metadata.

Abstract: Methods, apparatuses, and computer readable media are configured to perform operations comprising: obtaining, by a data management system (DMS), a first snapshot of a computing system; generating, by the DMS, one or more vectors based at least in part on data from the first snapshot, the one or more vectors representative of one or more respective portions of text within one or more files represented by the first snapshot; adding, by the DMS, the one or more vectors to a vector database along with metadata or a pointer to the metadata; storing, by the DMS, the one or more respective portions of text in a secondary storage environment; and adding, by the DMS to a mapping log, respective indications of mappings between the one or more vectors and the one or more respective portions of text.

Abstract: Methods, apparatuses, and computer readable media are configured to perform operations comprising: receiving, by a data management system (DMS), a query for a large language model (LLM) via an application; and retrieving, by the DMS and based at least in part on contextual information associated with the query, information from a vector database accessible to the DMS, wherein the vector database comprises one or more vectors comprising data associated with one or more snapshots obtained by the DMS of a computing system, wherein a prompt for the LLM is generated based at least in part on the query and the information, and a response to the query is provided based at least in part on the prompt and the LLM.

Abstract: Methods, apparatuses, and computer readable media are configured to perform operations comprising: obtaining, by a data management system (DMS), a first snapshot of a computing system; generating, by the DMS, one or more vectors based at least in part on data from the first snapshot; and adding, by the DMS, the one or more vectors to a vector database along with metadata or a pointer to the metadata, wherein the metadata is associated with the data from the first snapshot, and wherein the vector database comprises a knowledge repository that is accessible to an application associated with the DMS, the application further associated with communication with a large language model (LLM).