Abstract: Smart information retrieval is provided via artificial intelligence. Content stored in documents in a database is accessed and contextual chunks of individual ones of the documents are identified, wherein the contextual chunks include portions of content stored in the individual ones of the documents. Embeddings associated with the contextual chunks are generated and stored in a vector database. A plurality of relationships are defined among at least some of the contextual chunks and generates relational embeddings using the plurality of identified relationships. The relational embeddings are stored in a database. A query is received for information associated with at least some of the content and an embedding representing the query is generated. The embedding representing the query is transmitted to at least one large language model, and a response including at least some of the contextual chunks is received. The response is transmitted to a device associated with the query.

Abstract: A wellbore sealing device may be designed and manufactured using computer-assisted design and a hybrid of automated manufacturing and molding techniques. In one example, a stress analysis is performed to identify a reinforcement region to be reinforced in a sealing device component. Reinforcement fibers are selectively arranged using automated placement of the fibers in a location within a mold corresponding to the reinforcement region. The sealing device component is then molded, with the reinforcement fibers embedded in a matrix material locking the reinforcement fibers in position within the reinforcement region.

Abstract: A wellbore sealing device may be designed and manufactured using computer-assisted design and a hybrid of automated manufacturing and molding techniques. In one example, a stress analysis is performed to identify a reinforcement region to be reinforced in a sealing device component. Reinforcement fibers are selectively arranged using automated placement of the fibers in a location within a mold corresponding to the reinforcement region. The sealing device component is then molded, with the reinforcement fibers embedded in a matrix material locking the reinforcement fibers in position within the reinforcement region.

Abstract: A wellbore sealing device may be designed and manufactured using computer-assisted design and a hybrid of automated manufacturing and molding techniques. In one example, a stress analysis is performed to identify a reinforcement region to be reinforced in a sealing device component. Reinforcement fibers are selectively arranged using automated placement of the fibers in a location within a mold corresponding to the reinforcement region. The sealing device component is then molded, with the reinforcement fibers embedded in a matrix material locking the reinforcement fibers in position within the reinforcement region.

Abstract: An infrastructure metrics measuring process provides relevant infrastructure metrics for components of a monitored system. The process retrieves and stores application user data for a plurality of applications running on a network system and operating system statistics for at least one operating system running at least one of the plurality of application running on a network system. The data is aggregated into at least one of a transactional data stream and a non-transactional data stream and correlated onto a common time scale. The correlated aggregated data stream is then graphically displayed to a user to further analysis by a user.

Abstract: An infrastructure metrics measuring process provides relevant infrastructure metrics for components of a monitored system. The process retrieves and stores application user data for a plurality of applications running on a network system and operating system statistics for at least one operating system running at least one of the plurality of application running on a network system. The data is aggregated into at least one of a transactional data stream and a non-transactional data stream and correlated onto a common time scale. The correlated aggregated data stream is then graphically displayed to a user to further analysis by a user.