ChaosSearch, Inc. (20240338361). DATA PLATFORM USING GENERATIVE ARTIFICIAL INTELLIGENCE BASED ANALYSIS AND QUERIES APPLIED TO DATA SOURCES simplified abstract
DATA PLATFORM USING GENERATIVE ARTIFICIAL INTELLIGENCE BASED ANALYSIS AND QUERIES APPLIED TO DATA SOURCES
Organization Name
Inventor(s)
Thomas Hazel of Boston MA (US)
DATA PLATFORM USING GENERATIVE ARTIFICIAL INTELLIGENCE BASED ANALYSIS AND QUERIES APPLIED TO DATA SOURCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338361 titled 'DATA PLATFORM USING GENERATIVE ARTIFICIAL INTELLIGENCE BASED ANALYSIS AND QUERIES APPLIED TO DATA SOURCES
The abstract describes a system for querying a database that involves receiving a query request from a user interface, transmitting a contextualized query to a generative AI system based on the request and database context, receiving a query statement from the AI system, transmitting the query statement to the database, receiving a database response with entries, and transmitting an indication of the response to the user interface.
- The system receives query requests from a user interface.
- It transmits contextualized queries to a generative AI system.
- The AI system provides query statements in response.
- The system sends the query statements to the database.
- It receives database responses with entries.
- An indication of the response is transmitted to the user interface.
Potential Applications: - This technology can be used in various industries such as e-commerce, healthcare, finance, and more for efficient database querying. - It can streamline data retrieval processes in research institutions, educational organizations, and government agencies.
Problems Solved: - Simplifies the process of querying databases by leveraging AI technology. - Enhances the speed and accuracy of retrieving information from databases. - Reduces the manual effort required to formulate complex queries.
Benefits: - Improved efficiency in accessing and retrieving data from databases. - Enhanced user experience with faster response times. - Increased productivity by automating query generation processes.
Commercial Applications: - "AI-Powered Database Query System: Revolutionizing Data Retrieval in Various Industries"
Questions about the technology: 1. How does the system ensure the security and privacy of the database information? 2. Can the system adapt to different types of databases and query structures?
Frequently Updated Research: - Stay updated on advancements in AI technology related to database querying for potential improvements in the system's performance and capabilities.
Original Abstract Submitted
a system for querying a database may receive, from a user interface, a query request. the system may transmit, to a generative ai system, a contextualized query based on the query request and context from the database. the system may receive, from the generative ai system, a query statement in response to the transmission of the contextualized query. the system may transmit, to the database, the query statement. the system may receive, from the database, a database response comprising a set of database entries in response to the transmission of the query statement. the system may transmit, to the user interface, an indication of the database response.
