View source for 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==

[[:Category:ChaosSearch, Inc.|ChaosSearch, Inc.]]


[[Category:ChaosSearch, Inc.]]

==Inventor(s)==

[[:Category:Thomas Hazel of Boston MA (US)|Thomas Hazel of Boston MA (US)]][[Category: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.



[[Category:G06F16/242]]
[[Category:G06F16/22]]
[[Category:G06F16/2452]]
[[Category:CPC_G06F16/2423]]