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Computing US 12,393,577 B2 Not in force

Techniques and architecture for securing large language model assisted interactions with a data catalog

This system allows a user to ask a natural language question about data analysis. It uses an advanced AI (a large language model) to translate that question into a structured query for a data catalog, which then retrieves relevant information. The AI then identifies the specific analytical task required and automatically assigns it to an appropriate software agent for execution. The claims specify that the AI selects an agent from several options and can perform data modeling tasks.

Why it matters: Filed when LLM orchestration was emerging, the rapid development of LLM agents and workflow frameworks since 2024 makes building this system more robust and efficient. The reliability of LLMs for structured query generation has also significantly improved.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedComplex software, LLM integration, workflow orchestration

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